Triple
T6148988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chivas USA |
E137148
|
entity |
| Predicate | reasonForContraction |
P69461
|
FINISHED |
| Object | low attendance and off-field issues |
—
|
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: low attendance and off-field issues | Statement: [Chivas USA, reasonForContraction, low attendance and off-field issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForContraction Context triple: [Chivas USA, reasonForContraction, low attendance and off-field issues]
-
A.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
-
B.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
C.
reasonForConflict
Indicates that one entity is the cause, motive, or underlying issue leading to a conflict involving another entity.
-
D.
expansionReason
Indicates the reason or cause behind an expansion event or process occurring between entities.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce21820819096be9159d6b70a5f |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:16 p.m.