Triple
T14905182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYRR 9+1 program |
E360110
|
entity |
| Predicate | raceComponent |
P116615
|
FINISHED |
| Object | NYRR-scored road races |
—
|
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: NYRR-scored road races | Statement: [NYRR 9+1 program, raceComponent, NYRR-scored road races]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceComponent Context triple: [NYRR 9+1 program, raceComponent, NYRR-scored road races]
-
A.
featuresRaceBetween
Indicates that an event or context includes or showcases a competitive race occurring between participants.
-
B.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
C.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
D.
racedIn
Indicates that an entity participated as a competitor in a particular race or racing event.
-
E.
racingDivision
Indicates that one entity is classified into, or associated with, a particular racing division within a competitive racing context.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60cd5588190b1efecc2b220da69 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:12 a.m.