Triple
T9974544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Air Force Plant 42 |
E196292
|
entity |
| Predicate | distanceToEdwardsAFB |
P91390
|
FINISHED |
| Object | approximately 23 miles |
—
|
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 23 miles | Statement: [United States Air Force Plant 42, distanceToEdwardsAFB, approximately 23 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToEdwardsAFB Context triple: [United States Air Force Plant 42, distanceToEdwardsAFB, approximately 23 miles]
-
A.
distanceToPhoenix
Indicates the measured or estimated distance between a given entity’s location and the city of Phoenix.
-
B.
distanceToFlagstaff
Indicates the measured distance between a given entity’s location and the location of Flagstaff.
-
C.
distanceFromTucson
Indicates the spatial distance between a given entity and the location of Tucson.
-
D.
distanceFromLasVegas
Indicates the measured distance between a given place or object and the city of Las Vegas.
-
E.
distanceFromHonolulu
Indicates the spatial distance between a given location and Honolulu.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb849da448190b826cb8fbf2eeb89 |
completed | April 2, 2026, 12:28 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:48 p.m.