Triple
T623082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peach Bowl |
E14554
|
entity |
| Predicate | isNeutralSite |
P17812
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Peach Bowl, isNeutralSite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNeutralSite Context triple: [Peach Bowl, isNeutralSite, true]
-
A.
reasonForNeutralSite
Indicates that there is an identified justification or cause for choosing a neutral location for an event or interaction between parties.
-
B.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
C.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
D.
isAt
Indicates that one entity is located at or present in the place or position of another entity.
-
E.
platformNeutral
Indicates that something is compatible with, applicable to, or designed to work across multiple platforms without dependence on any specific one.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e41753881909f0faed720cc31bc |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49d0069d0819087c83b608f6fc053 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49e2107548190af0c1d67cfa475d1 |
completed | March 1, 2026, 8:14 p.m. |
Created at: March 1, 2026, 7:35 p.m.