Triple
T28883357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springer, New Mexico |
E732481
|
entity |
| Predicate | distanceToLasVegasNewMexico |
P65642
|
FINISHED |
| Object | approximately 70 miles north |
—
|
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 70 miles north | Statement: [Springer, New Mexico, distanceToLasVegasNewMexico, approximately 70 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLasVegasNewMexico Context triple: [Springer, New Mexico, distanceToLasVegasNewMexico, approximately 70 miles north]
-
A.
distanceFromAlbuquerque
Indicates the measured spatial distance between a given entity’s location and the city of Albuquerque.
-
B.
distanceFromLasVegas
chosen
Indicates the measured distance between a given place or object and the city of Las Vegas.
-
C.
approximateDistanceToLasCruces
Indicates that an entity has an estimated or rough distance measurement to the location Las Cruces.
-
D.
distanceFromTaos
Indicates the spatial distance separating something from the location of Taos.
-
E.
distanceFromTucson
Indicates the spatial distance between a given entity and the location of Tucson.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a004fd3caf48190b2ec063a7bf0756b |
completed | May 10, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a004f7672dc8190aca91d1ed855bf9a |
completed | May 10, 2026, 9:27 a.m. |
Created at: April 28, 2026, 7:47 a.m.