Triple
T24069329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twentysix Gasoline Stations |
E596180
|
entity |
| Predicate | firstGasStationLocation |
P153358
|
FINISHED |
| Object | Los Angeles, 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: Los Angeles, California | Statement: [Twentysix Gasoline Stations, firstGasStationLocation, Los Angeles, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGasStationLocation Context triple: [Twentysix Gasoline Stations, firstGasStationLocation, Los Angeles, California]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
firstSeriesLocation
Indicates the location where a series first took place, was set, or was initially released.
-
C.
fuelLocation
Indicates the place or source where fuel is stored, supplied, or located for use.
-
D.
originalStationLocation
chosen
Indicates the location where a station was initially established or first situated.
-
E.
startingPark
Indicates that an entity begins or initiates its activity, route, or presence from a specified park.
- F. None of above.
Provenance (3 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db15866c8190ab931216b8d9c57f |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.