Triple
T4413392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA men’s cross country |
E94904
|
entity |
| Predicate | scoringRunnersCount |
P55506
|
FINISHED |
| Object | 5 scoring runners per team |
—
|
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: 5 scoring runners per team | Statement: [NCAA men’s cross country, scoringRunnersCount, 5 scoring runners per team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoringRunnersCount Context triple: [NCAA men’s cross country, scoringRunnersCount, 5 scoring runners per team]
-
A.
runnerUpScore
Indicates the score achieved by the participant or entity that finished in second place in a competition or ranking.
-
B.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
C.
numberOfRankedPeople
Indicates the total count of people who have been assigned a rank within a given context or system.
-
D.
delegateCountWinner
Indicates that the referenced entity is the candidate or option that has secured the highest number of delegates in a given selection or election process.
-
E.
baseRunners
Indicates that certain players are currently occupying one or more bases as runners in a baseball play or game situation.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff7018c81908ad8597e525c042b |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:29 p.m.