Triple
T16376276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic cross-country (XCO) |
E397686
|
entity |
| Predicate | raceObjective |
P46673
|
FINISHED |
| Object | complete set number of laps in shortest time |
—
|
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: complete set number of laps in shortest time | Statement: [Olympic cross-country (XCO), raceObjective, complete set number of laps in shortest time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceObjective Context triple: [Olympic cross-country (XCO), raceObjective, complete set number of laps in shortest time]
-
A.
competitionGoal
chosen
Indicates that one entity’s objective or desired outcome is defined in the context of a competition involving another entity.
-
B.
raceMeeting
Indicates a competitive event where multiple participants race against each other under shared rules and conditions.
-
C.
raceWon
Indicates that one participant has achieved victory in a race or competitive event over others.
-
D.
racesAgainst
Indicates that one entity competes in a race directly against another entity.
-
E.
raceComponent
Indicates that one entity is a constituent part, segment, or stage within a larger race or racing event involving another entity.
- F. None of above.
Provenance (3 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d79df8819087285b9457b7bdb6 |
completed | April 18, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:08 a.m.