Triple
T9549546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raley Field |
E230382
|
entity |
| Predicate | distanceFromDowntownSacramento |
P1299
|
FINISHED |
| Object | approximately one mile |
—
|
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: approximately one mile | Statement: [Raley Field, distanceFromDowntownSacramento, approximately one mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDowntownSacramento Context triple: [Raley Field, distanceFromDowntownSacramento, approximately one mile]
-
A.
distanceFromSacramento
Indicates the measured distance between a given location and the city of Sacramento.
-
B.
distanceFromSanFrancisco
Indicates the measured distance between a given entity’s location and the city of San Francisco.
-
C.
distanceFromSanJosé
Indicates the measured spatial distance between a given entity and the location of San José.
-
D.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
E.
distanceToFresno
Indicates the physical distance between a given location or entity and the city of Fresno.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ccd58bd21881908b860e3ee469af13 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.