Triple
T33405356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theaterama |
E855422
|
entity |
| Predicate | isPartOfFairgrounds |
P198971
|
FINISHED |
| Object | 1964–65 New York World’s Fair site |
—
|
LITERAL FINISHED |
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: 1964–65 New York World’s Fair site | Statement: [Theaterama, isPartOfFairgrounds, 1964–65 New York World’s Fair site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfFairgrounds Context triple: [Theaterama, isPartOfFairgrounds, 1964–65 New York World’s Fair site]
-
A.
isPartOfAttraction
Indicates that something is a component or sub-element within a larger attraction or point of interest.
-
B.
hasShowground
Indicates that an entity possesses, contains, or is associated with a designated showground area for events or exhibitions.
-
C.
hasInfieldAmusementFacilities
Indicates that an entity provides or contains amusement or recreational facilities located within its infield area.
-
D.
isBoardwalkAttraction
Indicates that one entity is an attraction or point of interest located on or directly associated with a boardwalk.
-
E.
isCentralVenueOf
Indicates that a venue serves as the primary or main location for a specified event, organization, or activity.
- F. None of above. chosen
Provenance (4 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
| PDg | Predicate description generation | batch_69ff17bda59c8190b27c524f3e01c6df |
completed | May 9, 2026, 11:17 a.m. |
Created at: May 1, 2026, 1:36 a.m.