Triple
T16799214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tijeras |
E408310
|
entity |
| Predicate | distanceToAlbuquerque |
P52892
|
FINISHED |
| Object | approximately 10 miles east |
—
|
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 10 miles east | Statement: [Tijeras, distanceToAlbuquerque, approximately 10 miles east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlbuquerque Context triple: [Tijeras, distanceToAlbuquerque, approximately 10 miles east]
-
A.
distanceFromAlbuquerque
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Albuquerque.
-
B.
distanceToAmarillo
Indicates the spatial distance between a given entity and the location Amarillo.
-
C.
distanceFromSocorro
Indicates the spatial distance between an entity and the reference location Socorro.
-
D.
distanceFromTucson
Indicates the spatial distance between a given entity and the location of Tucson.
-
E.
distanceFromAlamogordo
Indicates the spatial distance between a given entity and the location of Alamogordo.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.