Triple
T24344838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas–Fort Worth vs. Houston |
E613610
|
entity |
| Predicate | featuresTeamFromDallas–FortWorth |
P5852
|
FINISHED |
| Object | Dallas Cowboys |
—
|
NE NERFINISHED |
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: Dallas Cowboys | Statement: [Dallas–Fort Worth vs. Houston, featuresTeamFromDallas–FortWorth, Dallas Cowboys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTeamFromDallas–FortWorth Context triple: [Dallas–Fort Worth vs. Houston, featuresTeamFromDallas–FortWorth, Dallas Cowboys]
-
A.
featuredTeam
chosen
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
B.
teamDallasDivision
Indicates that a team is part of the Dallas division within a league, organization, or competition structure.
-
C.
featuresTeams
Indicates that something prominently presents or includes specific teams as a central element or focus.
-
D.
featuresTeamFromConference
Indicates that something (such as an event, game, or matchup) includes or involves at least one team that belongs to a specified conference.
-
E.
fieldsTeam
Indicates that an entity is a member of, or associated as part of, a particular team.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29328b0288190a580939e8863b0c2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.