Triple
T484048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFC Championship |
E9834
|
entity |
| Predicate | firstGamePlayed |
P13507
|
FINISHED |
| Object | 1971 |
—
|
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: 1971 | Statement: [NFC Championship, firstGamePlayed, 1971]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGamePlayed Context triple: [NFC Championship, firstGamePlayed, 1971]
-
A.
firstGameOpponent
Indicates that one entity is the opponent faced by another entity in its first game or match.
-
B.
eraPlayed
Indicates the historical or stylistic time period during which something (typically a work or performance) was played or took place.
-
C.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
D.
firstInternationalMatch
Indicates that the match is the first international-level game played by the entity (such as a team or player) in question.
-
E.
firstNightGameDate
Indicates the date on which an entity’s first night game took place.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0ba310c81909645ef7e8a20b52f |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.