Triple
T36435994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texico, New Mexico |
E897585
|
entity |
| Predicate | locatedAcrossStateLineFrom |
P197159
|
FINISHED |
| Object | Farwell, Texas |
E1192583
|
NE 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: Farwell, Texas | Statement: [Texico, New Mexico, locatedAcrossStateLineFrom, Farwell, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAcrossStateLineFrom Context triple: [Texico, New Mexico, locatedAcrossStateLineFrom, Farwell, Texas]
-
A.
locatedOppositeState
chosen
Indicates that one entity is situated in a state that lies directly opposite or across from the state in which the other entity is situated.
-
B.
locatedNearStateBorderWith
Indicates that one entity is situated geographically close to the border of a specified state.
-
C.
crossesStateBorders
Indicates that the referenced entity extends into or passes through more than one state’s territorial boundaries.
-
D.
borderingOpposingState
Indicates that one state shares a border with another state that is politically, militarily, or ideologically opposed to it.
-
E.
geographicallySeparatedFrom
Indicates that two places or regions are distinct and apart from each other in physical location or geographic space.
- F. None of above.
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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39cfc6f34c8190ab4bf08fcb988e43 |
completed | June 23, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.