Triple
T18332567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivy League women’s cross country |
E439180
|
entity |
| Predicate | individualOutcome |
P131397
|
FINISHED |
| Object | conference individual champion |
—
|
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: conference individual champion | Statement: [Ivy League women’s cross country, individualOutcome, conference individual champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: individualOutcome Context triple: [Ivy League women’s cross country, individualOutcome, conference individual champion]
-
A.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
B.
initialOutcome
Indicates the result or state that first occurs at the beginning of a process, event, or interaction, before any subsequent changes or outcomes.
-
C.
outcomeType
Indicates the specific category or nature of the result produced by an event, process, or action.
-
D.
individualScoring
Indicates that a specific individual receives or is assigned a particular score or evaluation in a given context.
-
E.
outcomeInvolvement
Indicates that an entity is involved in producing, influencing, or being affected by a particular outcome or result.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecaf6f48190ae7547cc0f8e6efa |
completed | April 19, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e4561d665081908ec555344e76d82b |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 10:36 a.m.