Triple
T36423489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico national baseball team |
E897225
|
entity |
| Predicate | bestWBCFinish |
P185479
|
FINISHED |
| Object | semifinals |
—
|
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: semifinals | Statement: [Mexico national baseball team, bestWBCFinish, semifinals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestWBCFinish Context triple: [Mexico national baseball team, bestWBCFinish, semifinals]
-
A.
bestRaceFinish
Indicates the highest (best) finishing position an entity has achieved in a race.
-
B.
F2BestChampionshipFinish
Indicates the best finishing position an entity has ever achieved in a Formula 2 championship.
-
C.
winnerLane
Indicates that a particular lane is the one in which the winner of a race or competition is located.
-
D.
bestF1Result
Indicates that one result in a set has the highest F1 score (harmonic mean of precision and recall) compared to all other results.
-
E.
bestFinishInTheOpenChampionship
Indicates the highest (best) finishing position an entity has ever achieved in The Open Championship golf tournament.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.