Triple
T2882218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York City Center |
E59421
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
City Center
City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
|
E307034
|
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 Center | Statement: [New York City Center, alsoKnownAs, City Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Center Context triple: [New York City Center, alsoKnownAs, City Center]
-
A.
Central City
Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
-
B.
Central City
Central City is a historic Colorado mining town famed for its boom during the mid-19th-century gold rush and its well-preserved Victorian-era architecture.
-
C.
City Center District
City Center District is a major commercial and business neighborhood forming the core of downtown Dallas, Texas.
-
D.
City Centre
City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
-
E.
City Centre
City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
- 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 Center Triple: [New York City Center, alsoKnownAs, City Center]
Generated description
City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: City Center Target entity description: City Center is a historic performing arts venue in Midtown Manhattan, best known for its dance, theater, and music programming.
-
A.
Central City
Central City is a major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
-
B.
Central City
Central City is a historic Colorado mining town famed for its boom during the mid-19th-century gold rush and its well-preserved Victorian-era architecture.
-
C.
City Center District
City Center District is a major commercial and business neighborhood forming the core of downtown Dallas, Texas.
-
D.
City Centre
City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
-
E.
City Centre
City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03167d7dc819093e91e0d42f3de6f |
completed | March 10, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_69b03549ed388190b478614397076361 |
completed | March 10, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b035f849888190a5b9ee15aa456522 |
completed | March 10, 2026, 3:17 p.m. |
Created at: March 6, 2026, 10:03 p.m.