Triple
T4779212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinchliffe Stadium |
E106130
|
entity |
| Predicate | closedForEvents |
P56011
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Hinchliffe Stadium, closedForEvents, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForEvents Context triple: [Hinchliffe Stadium, closedForEvents, 1997]
-
A.
closedVenue
Indicates that a venue is not open or available for use during a given time or event.
-
B.
closedFor
chosen
Indicates that an entity is not available or accessible for use, entry, or operation during a specified time, condition, or reason.
-
C.
closedDuring
Indicates that an entity is not open or available for use during a specified time period or under certain conditions.
-
D.
closureEvent
Indicates an event or action in which something is formally brought to an end, completed, or shut down.
-
E.
openedForEvent
Indicates that a venue or location is made accessible and operational specifically for a particular 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.