Triple
T2678267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deportivo de La Coruña |
E56511
|
entity |
| Predicate | majorAchievement |
P17391
|
FINISHED |
| Object | won first La Liga title in 1999–2000 |
—
|
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: won first La Liga title in 1999–2000 | Statement: [Deportivo de La Coruña, majorAchievement, won first La Liga title in 1999–2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorAchievement Context triple: [Deportivo de La Coruña, majorAchievement, won first La Liga title in 1999–2000]
-
A.
notableDeed
Indicates that an entity is recognized for performing a significant or noteworthy action or achievement.
-
B.
notableOutcome
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
C.
sportsAchievement
chosen
Indicates a relationship where an entity attains or is recognized for a notable accomplishment in a sports context.
-
D.
medicalAchievement
Indicates that an entity has accomplished a notable success, breakthrough, or recognized contribution in the field of medicine or healthcare.
-
E.
notableEventInCareer
Indicates that a particular event is a significant or defining occurrence within an entity’s professional career.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.