Triple
T1736831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | America's Team |
E37937
|
entity |
| Predicate | associatedWithLeagueDivisionStatus |
P31726
|
FINISHED |
| Object | high-profile franchise |
—
|
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: high-profile franchise | Statement: [America's Team, associatedWithLeagueDivisionStatus, high-profile franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithLeagueDivisionStatus Context triple: [America's Team, associatedWithLeagueDivisionStatus, high-profile franchise]
-
A.
statusInLeague
Indicates the standing or rank an entity holds within a particular league or competitive organization.
-
B.
affiliateLeague
Indicates that one sports organization or team is formally associated with and operates under the umbrella or partnership of a particular league.
-
C.
eligibleLeague
Indicates that an entity (such as a team or player) is qualified or permitted to participate in a particular league.
-
D.
associatedLeagueRuleAdoption
Indicates that there is a connection between an entity and the specific league rule adoption that governs or influences it.
-
E.
winnerLeagueDivision
Indicates that an entity has won a specific league division in a competitive context.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab3c2559ac8190905186406fcaccb9 |
completed | March 6, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69aa61c4023c819099cbe439aefda71f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab3c2479148190badc616f8e2686d4 |
completed | March 6, 2026, 8:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.