Triple
T16519215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naval Air Station Lemoore |
E401270
|
entity |
| Predicate | distanceFromFresno |
P60642
|
FINISHED |
| Object | approximately 40 miles south |
—
|
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 40 miles south | Statement: [Naval Air Station Lemoore, distanceFromFresno, approximately 40 miles south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromFresno Context triple: [Naval Air Station Lemoore, distanceFromFresno, approximately 40 miles south]
-
A.
distanceToFresno
chosen
Indicates the physical distance between a given location or entity and the city of Fresno.
-
B.
distanceFromSacramento
Indicates the measured distance between a given location and the city of Sacramento.
-
C.
distanceFromSanJosé
Indicates the measured spatial distance between a given entity and the location of San José.
-
D.
distanceFromSanFrancisco
Indicates the measured distance between a given entity’s location and the city of San Francisco.
-
E.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7ec45c8190b5e2c4a5f707e332 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.