Triple
T28125888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony D'Amato |
E710924
|
entity |
| Predicate | cityOfFictionalTeam |
P165426
|
FINISHED |
| Object | Miami |
—
|
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: Miami | Statement: [Tony D'Amato, cityOfFictionalTeam, Miami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityOfFictionalTeam Context triple: [Tony D'Amato, cityOfFictionalTeam, Miami]
-
A.
teamCityOfFranchiseOwned
Indicates that a particular city serves as the home or base city for a sports franchise that is owned by a specified owner.
-
B.
parentMLBFranchiseCity
Indicates that a given city is the primary or home city associated with a particular Major League Baseball franchise.
-
C.
homeCityTeamOf
Indicates that one entity is the sports team based in and representing the home city of the other entity.
-
D.
homeCityOfRivalTeam
Indicates the city that serves as the home base for a team’s rival.
-
E.
cityFirstMajorLeagueTeam
Indicates that the referenced team is the first major league sports team established in the given city.
- 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_69ef9b73bd288190a21ae3d6aa14f386 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 27, 2026, 9:20 p.m.