Triple
T3272993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isfahan |
E68692
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Half of the World
Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
|
E342752
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Half of the World | Statement: [Isfahan, nickname, Half of the World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Half of the World Context triple: [Isfahan, nickname, Half of the World]
-
A.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
B.
Beautiful World
"Beautiful World" is a 2006 pop album by British boy band Take That that marked their successful comeback after a decade-long hiatus.
-
C.
One World
"One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
-
D.
Until the End of the World
"Until the End of the World" is a song by Irish rock band U2, known for its atmospheric sound and lyrics inspired by a dialogue between Jesus and Judas.
-
E.
Up in the World
Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Half of the World Triple: [Isfahan, nickname, Half of the World]
Generated description
Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Half of the World Target entity description: Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
-
A.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
B.
Beautiful World
"Beautiful World" is a 2006 pop album by British boy band Take That that marked their successful comeback after a decade-long hiatus.
-
C.
One World
"One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
-
D.
Until the End of the World
"Until the End of the World" is a song by Irish rock band U2, known for its atmospheric sound and lyrics inspired by a dialogue between Jesus and Judas.
-
E.
Up in the World
Up in the World is a 1956 British comedy film starring Norman Wisdom as a window cleaner who becomes entangled in chaotic misadventures while working at a wealthy country estate.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff6308881908886a44804a0bb09 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f0793e08190af55ee16e5091451 |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c47e908190b5be5b33da358ade |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:10 p.m.