Triple
T31921223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Tuaniga |
E814973
|
entity |
| Predicate | universityTeamLocation |
P172732
|
FINISHED |
| Object | Long Beach, California |
—
|
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: Long Beach, California | Statement: [Josh Tuaniga, universityTeamLocation, Long Beach, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityTeamLocation Context triple: [Josh Tuaniga, universityTeamLocation, Long Beach, California]
-
A.
collegeTeamLocation
Indicates the geographic location (such as city, state, or region) associated with a particular college sports team.
-
B.
homeTeamUniversity
Indicates that a specified university serves as the home institution or host team in a given game, match, or sporting event.
-
C.
campusOfTeam
Indicates the campus or primary location associated with a particular team.
-
D.
teamLocationExample
Indicates that a specific location is provided as an example of where a team is based or operates.
-
E.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b1f63a40819080e51743627059c7 |
completed | May 3, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69f6aca7081881909e96a8b05ec086bb |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: May 1, 2026, 12:03 a.m.