Triple
T7745858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gayway amusement area |
E175627
|
entity |
| Predicate | eventTypeContext |
P44016
|
FINISHED |
| Object | World’s Fair amusement zone |
—
|
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: World’s Fair amusement zone | Statement: [Gayway amusement area, eventTypeContext, World’s Fair amusement zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventTypeContext Context triple: [Gayway amusement area, eventTypeContext, World’s Fair amusement zone]
-
A.
eventContext
chosen
Indicates the situational or background circumstances (such as time, place, conditions, or surrounding events) within which a particular event occurs or is interpreted.
-
B.
edgeContext
Indicates that a relationship or interaction between two entities occurs within, or is influenced by, a specific contextual setting or surrounding conditions.
-
C.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
D.
activityStartContext
Indicates the circumstances, conditions, or situation present at the moment an activity begins.
-
E.
acquisitionContext
Indicates the circumstances, conditions, or setting under which an acquisition or purchase takes place.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:07 p.m.