Triple
T1332180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liga MX |
E28666
|
entity |
| Predicate | matchPointsForLoss |
P7115
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Liga MX, matchPointsForLoss, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: matchPointsForLoss Context triple: [Liga MX, matchPointsForLoss, 0]
-
A.
matchPointsDraw
Indicates that the entities receive or share an equal number of points as a result of a drawn or tied match.
-
B.
loserPoints
chosen
Indicates the number of points awarded to or accumulated by the losing side in a competitive event or comparison.
-
C.
loserScore
Indicates the number of points or score achieved by the losing participant in a competitive event or comparison.
-
D.
lostFinalsTo
Indicates that one competitor was defeated by another in the final round of a competition or tournament.
-
E.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1e7f1388190a6e4eb65a7997380 |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.