Triple
T21607025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | domestic league matches at Estadio Manuel Felipe Carrera |
E533201
|
entity |
| Predicate | noPointsFor |
P144767
|
FINISHED |
| Object | loss |
—
|
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: loss | Statement: [domestic league matches at Estadio Manuel Felipe Carrera, noPointsFor, loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noPointsFor Context triple: [domestic league matches at Estadio Manuel Felipe Carrera, noPointsFor, loss]
-
A.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
-
B.
pointsForNoResult
Indicates the number of points awarded to a participant or team when a contest, match, or event ends with no result.
-
C.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
D.
notAwardedWhen
Indicates that one entity is not granted, conferred, or given in the circumstances or conditions specified by another entity or event.
-
E.
notUsedAt
Indicates that a particular entity is not utilized, applied, or active at a specified location, time, or context.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e6378881908678dc903b8ba6ac |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.