Triple
T3242874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texans–Colts rivalry |
E68001
|
entity |
| Predicate | impactOnStandings |
P46779
|
FINISHED |
| Object | direct effect on AFC South standings |
—
|
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: direct effect on AFC South standings | Statement: [Texans–Colts rivalry, impactOnStandings, direct effect on AFC South standings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnStandings Context triple: [Texans–Colts rivalry, impactOnStandings, direct effect on AFC South standings]
-
A.
hasPostseasonImpact
Indicates that an event, action, or outcome has a direct effect on postseason qualification, seeding, or performance.
-
B.
seasonImpact
Indicates how a particular season influences or affects another entity, condition, or outcome.
-
C.
playoffImplications
Indicates that the outcome of a game or event has a direct effect on qualification, seeding, or progression within a playoff structure.
-
D.
leagueAffected
Indicates that a particular league is impacted or influenced by a specified event, action, or condition.
-
E.
affectedCompetitionFormat
Indicates that one entity caused a change or influence on the structure, rules, or format of a competition.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:08 p.m.