Triple
T24344839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas–Fort Worth vs. Houston |
E613610
|
entity |
| Predicate | featuresTeamFromHouston |
P5852
|
FINISHED |
| Object | Houston Texans |
—
|
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: Houston Texans | Statement: [Dallas–Fort Worth vs. Houston, featuresTeamFromHouston, Houston Texans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresTeamFromHouston Context triple: [Dallas–Fort Worth vs. Houston, featuresTeamFromHouston, Houston Texans]
-
A.
teammateAtHouston
Indicates that two individuals were teammates while playing for a team based in Houston.
-
B.
HoustonCoach
Indicates that an individual serves as a coach for a sports team or organization based in Houston.
-
C.
keyPlayerHouston
Indicates that the entity plays a central or crucial role as a key player in the context of Houston.
-
D.
featuredTeam
chosen
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
E.
houstonNickname
Indicates that one entity is a nickname or informal moniker used to refer to Houston.
- 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.