Triple
T6411253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Life (mural) |
E127709
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
City Life
City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
|
E592552
|
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: City Life | Statement: [City Life (mural), hasTitle, City Life]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Life Context triple: [City Life (mural), hasTitle, City Life]
-
A.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
-
B.
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
C.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
-
D.
Urban Jungle
Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
-
E.
City Loop
City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
- 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: City Life Triple: [City Life (mural), hasTitle, City Life]
Generated description
City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Life Target entity description: City Life is a mural artwork, likely depicting scenes of urban living and the energy of city environments.
-
A.
City
"City" is a classic science fiction fix-up novel by Clifford D. Simak, renowned for its poignant exploration of humanity’s decline and the rise of intelligent dogs in a far-future Earth.
-
B.
City
City is the commonly used short name for Bradford City A.F.C., an English professional football club based in Bradford, West Yorkshire.
-
C.
Urban
Urban is a common surname of various linguistic origins, notably borne by New Zealand actor Karl Urban.
-
D.
Urban Jungle
Urban Jungle is a San Diego Zoo exhibit area featuring close-up encounters with giraffes and other savanna animals in an immersive, city-themed setting.
-
E.
City Loop
City Loop is Melbourne’s central underground railway system that circulates suburban trains through key inner-city stations.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d0f2b88190af06c208d8c01d07 |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640c141548190b76a21e873c9147d |
completed | March 27, 2026, 8:33 a.m. |
| NEDg | Description generation | batch_69c6428e44108190b7cb592a05b4acbb |
completed | March 27, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64343c19c8190b05ef4450aadcbd1 |
completed | March 27, 2026, 8:43 a.m. |
Created at: March 22, 2026, 4:41 p.m.