Triple
T8985544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsville, Texas |
E214652
|
entity |
| Predicate | distanceToCorpusChristi |
P86177
|
FINISHED |
| Object | about 40 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: about 40 miles | Statement: [Kingsville, Texas, distanceToCorpusChristi, about 40 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCorpusChristi Context triple: [Kingsville, Texas, distanceToCorpusChristi, about 40 miles]
-
A.
distanceToAustin
Indicates the spatial distance between a given entity or location and the city of Austin.
-
B.
distanceFromCarlsbad
Indicates the measured spatial distance between a given entity or location and Carlsbad.
-
C.
distanceToSanDiego
Indicates the measured or estimated distance between a given entity’s location and the city of San Diego.
-
D.
distanceFromSocorro
Indicates the spatial distance between an entity and the reference location Socorro.
-
E.
distanceFromDallas
Indicates the measured distance between a given place or entity and the city of Dallas.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69cc5edba0f88190b97401636a076d7a |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5febd0a08190b2de6fb422343001 |
completed | March 31, 2026, 11:59 p.m. |
Created at: March 30, 2026, 7:03 p.m.