Triple
T20725265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 NCAA women’s gymnastics championship |
E509417
|
entity |
| Predicate | numberOfSuperSixTeams |
P96366
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [2017 NCAA women’s gymnastics championship, numberOfSuperSixTeams, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSuperSixTeams Context triple: [2017 NCAA women’s gymnastics championship, numberOfSuperSixTeams, 6]
-
A.
numberOfOriginalSixTeams
Indicates the count of teams that were part of the NHL’s Original Six associated with a given entity.
-
B.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
C.
numberOfUEFATeams
Indicates the quantity of teams associated with UEFA in a given context or entity.
-
D.
NFCnumberOfTeams
Indicates the number of teams that participate in or belong to the NFC.
-
E.
qualifiedTeamsCount
chosen
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:29 p.m.