Triple
T20066671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Tehran |
E499624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shahriar |
—
|
NE NERFINISHED |
How this triple was built (2 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: Shahriar | Statement: [Greater Tehran, contains, Shahriar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shahriar Context triple: [Greater Tehran, contains, Shahriar]
-
A.
Shahriar
chosen
Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
-
B.
Faysal
Faysal is a male given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
C.
Shakil
Shakil is a family name notably associated with the character Omar Khayyam Shakil from Salman Rushdie’s novel "Shame."
-
D.
Jasimuddin
Jasimuddin was a renowned Bengali poet and folklorist celebrated for his vivid depictions of rural Bengal and its people.
-
E.
Mazhar
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66379f2cc81908f13a7b216878f12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.