Triple
T15590215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowboys |
E374722
|
entity |
| Predicate | associatedWomen'sTeams |
P13104
|
FINISHED |
| Object | Cowgirls |
—
|
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: Cowgirls | Statement: [Cowboys, associatedWomen'sTeams, Cowgirls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWomen'sTeams Context triple: [Cowboys, associatedWomen'sTeams, Cowgirls]
-
A.
womenTeam
chosen
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
womenTeamsCount
Indicates the number of teams composed of women associated with a given entity or context.
-
C.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
D.
includesWomen'sLeagues
Indicates that the subject entity encompasses, offers, or is associated with one or more leagues specifically organized for women.
-
E.
nationalTeamSystem
Indicates a relationship where an entity is part of, governed by, or operates within a specific national team structure or organizational system.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:11 a.m.