Triple
T17874752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abilene Christian Wildcats men's track and field |
E446923
|
entity |
| Predicate | focusesOnEvents |
P31
|
FINISHED |
| Object | sprints |
—
|
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: sprints | Statement: [Abilene Christian Wildcats men's track and field, focusesOnEvents, sprints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnEvents Context triple: [Abilene Christian Wildcats men's track and field, focusesOnEvents, sprints]
-
A.
eventFocus
Indicates that a particular event is the primary subject of attention, analysis, or relevance within a given context or dataset.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
perspectiveOnEvents
Indicates a relationship where an entity holds or expresses a particular interpretive viewpoint or framing regarding one or more events.
-
D.
featuresEvent
Indicates that an entity includes, presents, or highlights a particular event as part of its content or offering.
-
E.
mainEvents
Indicates that the referenced entities are the primary or most significant events within a given context, sequence, or narrative.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa54d1481908c0af8533edd51c4 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.