Triple
T3242875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texans–Colts rivalry |
E68001
|
entity |
| Predicate | team1FranchiseStart |
P46462
|
FINISHED |
| Object | Houston Texans founded 2002 |
—
|
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: Houston Texans founded 2002 | Statement: [Texans–Colts rivalry, team1FranchiseStart, Houston Texans founded 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team1FranchiseStart Context triple: [Texans–Colts rivalry, team1FranchiseStart, Houston Texans founded 2002]
-
A.
team1Franchise
Indicates that an entity serves as or represents the franchise associated with the first team in a given sports or competitive context.
-
B.
teamStartYear
Indicates the year in which an entity (such as a person or organization) began its association with a particular team.
-
C.
team2Franchise
Indicates a relationship where a second team is associated with, or belongs to, a particular franchise.
-
D.
foundedAsFranchiseYear
chosen
Indicates the year in which an entity was established specifically as a franchise.
-
E.
playsForFranchise
Indicates that one entity is an athlete or performer who is a member of, or competes on behalf of, a particular sports franchise or 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf17463481909447f6ab46016407 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.