Triple
T10905283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M vs LSU |
E257552
|
entity |
| Predicate | typicalGameDate |
P96337
|
FINISHED |
| Object | late November |
—
|
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: late November | Statement: [Texas A&M vs LSU, typicalGameDate, late November]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGameDate Context triple: [Texas A&M vs LSU, typicalGameDate, late November]
-
A.
game1Date
Indicates the calendar date on which the first game or match in a series takes place.
-
B.
recordGameDate
Indicates that an entity logs or stores the date on which a particular game took place or is scheduled.
-
C.
dateOfNotableGame
Indicates the calendar date on which a particular notable game took place.
-
D.
game3Date
Indicates the calendar date on which the third game in a series or sequence takes place.
-
E.
lastGameDate
Indicates the date on which the most recent game involving the given entity 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770656c288190828e71600bb0acd4 |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.