Triple
T31938349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childress, Texas vicinity |
E815454
|
entity |
| Predicate | nearestMajorCityDirection |
P68234
|
FINISHED |
| Object | southeast of Amarillo, Texas |
—
|
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: southeast of Amarillo, Texas | Statement: [Childress, Texas vicinity, nearestMajorCityDirection, southeast of Amarillo, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorCityDirection Context triple: [Childress, Texas vicinity, nearestMajorCityDirection, southeast of Amarillo, Texas]
-
A.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
B.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
C.
nearestMajorMetro
chosen
Indicates the relationship where a given location is associated with the closest large metropolitan area to it.
-
D.
adjacentMajorCity
Indicates that one major city is geographically next to or directly bordering another major city.
-
E.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
- 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 12:05 a.m.