Triple
T22325095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eriin gurvan naadam |
E551881
|
entity |
| Predicate | ageRangeOfJockeys |
P147738
|
FINISHED |
| Object | often children |
—
|
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: often children | Statement: [Eriin gurvan naadam, ageRangeOfJockeys, often children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfJockeys Context triple: [Eriin gurvan naadam, ageRangeOfJockeys, often children]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
ageAtBelmontWin
Indicates the age an entity (typically a racehorse) was at the time it won the Belmont Stakes.
-
C.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
D.
raceTypeByAge
Indicates that the type or category of a race is determined or classified based on the ages of its participants.
-
E.
typicalAgeRangeOfWinners
Indicates the usual age range within which the winners of a particular competition, award, or event typically fall.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15767425481909547bfe294fe06de |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.