Triple
T10426981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakersfield Condors |
E245812
|
entity |
| Predicate | playsInArenaLocatedIn |
P93526
|
FINISHED |
| Object | downtown Bakersfield |
—
|
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: downtown Bakersfield | Statement: [Bakersfield Condors, playsInArenaLocatedIn, downtown Bakersfield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInArenaLocatedIn Context triple: [Bakersfield Condors, playsInArenaLocatedIn, downtown Bakersfield]
-
A.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
-
B.
playsInIndoorArena
Indicates that an entity participates or performs in an arena that is located indoors.
-
C.
arenaLocation
Indicates that an arena is located at or within a specified place or geographic location.
-
D.
playedInArena
Indicates that an entity (typically a performer or team) participated in an event that took place within a specific arena.
-
E.
gameVenue
Indicates the location or facility where a game or match is held.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea498ab08190b451c0b257c0711b |
completed | April 7, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
| PDg | Predicate description generation | batch_69d4e91de3088190ae89cbb12fb29db8 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:12 p.m.