Triple
T1343497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IIHF Women’s World Championship |
E28517
|
entity |
| Predicate | typicalNumberOfTeamsTopDivision |
P7552
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [IIHF Women’s World Championship, typicalNumberOfTeamsTopDivision, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNumberOfTeamsTopDivision Context triple: [IIHF Women’s World Championship, typicalNumberOfTeamsTopDivision, 10]
-
A.
currentStandardTopDivisionTeams
Indicates that the teams are currently competing in the highest-level division of a sport’s league or competition system.
-
B.
topDivision
Indicates that an entity belongs to the highest-level division or tier within a hierarchical structure.
-
C.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
D.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
E.
teamsPerDivision
chosen
Indicates the number of teams that are associated with or belong to each division.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c23b8a9081908b78405d4ef806af |
completed | March 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.