Triple
T30325566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern States Exposition |
E771328
|
entity |
| Predicate | typeOfFair |
P7504
|
FINISHED |
| Object | state and regional fair |
—
|
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: state and regional fair | Statement: [Eastern States Exposition, typeOfFair, state and regional fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfFair Context triple: [Eastern States Exposition, typeOfFair, state and regional fair]
-
A.
isPartOfFairgrounds
Indicates that something is located within or belongs to the area designated as fairgrounds.
-
B.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
C.
amusementParkType
Indicates that one entity is classified as a specific type or category of amusement park in relation to another entity.
-
D.
typeOfRodeo
Indicates the specific kind or category of rodeo event that something belongs to.
-
E.
worldsFairEdition
Indicates that one entity is a special edition of another that was produced or designated specifically for a World's Fair event.
- F. None of above.
Provenance (3 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 29, 2026, 7:52 p.m.