Triple
T25375152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liz Cambage |
E633036
|
entity |
| Predicate | singleGamePointsRecord |
P158249
|
FINISHED |
| Object | 53 points |
—
|
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: 53 points | Statement: [Liz Cambage, singleGamePointsRecord, 53 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleGamePointsRecord Context triple: [Liz Cambage, singleGamePointsRecord, 53 points]
-
A.
singleGamePointsRecordYear
Indicates the year in which a single-game points record was set.
-
B.
hitsInSingleGameRecord
Indicates that an entity holds the record for the most hits achieved in a single game.
-
C.
seasonPointsRecordSet
Indicates that a new record for total points scored in a season has been achieved or established.
-
D.
scored70PointsInSingleGame
Indicates that an entity achieved a total of 70 points in a single game or match.
-
E.
scored71PointsInSingleGame
Indicates that an entity achieved a total of 71 points in a single game.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e591ffc8190aac5b03db15e45da |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:38 p.m.