Triple
T31455704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hockey World Cup (women) |
E802443
|
entity |
| Predicate | recordTitlesNumber |
P4419
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Hockey World Cup (women), recordTitlesNumber, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordTitlesNumber Context triple: [Hockey World Cup (women), recordTitlesNumber, 9]
-
A.
titleCount
chosen
Indicates the number of distinct titles associated with an entity within a given context.
-
B.
eraTitleCount
Indicates the number of distinct titles associated with a given era.
-
C.
minimumNumberOfTitles
Indicates the smallest allowable or required number of titles that must be associated with an entity in this relationship.
-
D.
recordTitleHolder
Indicates that one entity is recognized as the current holder of a particular record associated with another entity.
-
E.
titleNumber
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
- F. None of above.
Provenance (3 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 30, 2026, 9:16 p.m.