Triple
T5865552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autódromo Hermanos Rodríguez |
E130382
|
entity |
| Predicate | F1ReturnYear |
P67568
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Autódromo Hermanos Rodríguez, F1ReturnYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: F1ReturnYear Context triple: [Autódromo Hermanos Rodríguez, F1ReturnYear, 2015]
-
A.
F1LapRecordYear
Indicates the year in which a specific Formula 1 lap record was set.
-
B.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
-
C.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
D.
hallOfFameEligibilityYear
Indicates the specific year in which an entity becomes eligible for induction into a hall of fame.
-
E.
modelYears
Indicates the association between a product (often a vehicle or device) and the specific calendar years in which that model version was produced or marketed.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c044fe17d08190b9bf47b13863ef52 |
completed | March 22, 2026, 7:37 p.m. |
Created at: March 22, 2026, 3:56 p.m.