Triple
T20865302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross Creek |
E513744
|
entity |
| Predicate | hasCommonEventType |
P14526
|
FINISHED |
| Object | gunfights |
—
|
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: gunfights | Statement: [Cross Creek, hasCommonEventType, gunfights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonEventType Context triple: [Cross Creek, hasCommonEventType, gunfights]
-
A.
hasEventType
chosen
Indicates that an event is associated with, or classified under, a specific type or category of event.
-
B.
hasRegularEventType
Indicates that an entity is associated with a recurring or routinely scheduled type of event.
-
C.
refersToEventType
Indicates that one entity references or is associated with a specific type or category of event.
-
D.
hasCommonElement
Indicates that two sets, collections, or groups share at least one element in common.
-
E.
hasCompanionEvent
Indicates that one event is associated with another event that occurs alongside it as a related or accompanying occurrence.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45fbfc88190914c5133aa4b242c |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:44 p.m.