Triple
T3456112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clásica de San Sebastián |
E72907
|
entity |
| Predicate | womenRaceInstanceOf |
P48333
|
FINISHED |
| Object | elite women's road race |
—
|
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: elite women's road race | Statement: [Clásica de San Sebastián, womenRaceInstanceOf, elite women's road race]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenRaceInstanceOf Context triple: [Clásica de San Sebastián, womenRaceInstanceOf, elite women's road race]
-
A.
womenStatus
Indicates the social, legal, economic, or cultural position or condition assigned to women within a given context or system.
-
B.
hasAssociatedRace
Indicates that an entity is linked to or characterized by a particular race or racial classification.
-
C.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
-
D.
canBeOfAnyRace
Indicates that the subject is not restricted to a specific race and may belong to any racial group.
-
E.
recognizedAsMinorityIn
Indicates that an entity is officially acknowledged or classified as belonging to a minority group within a specified context or jurisdiction.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa77b9c81909376a5995cdaf6ac |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.