Triple
T36436016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texico, New Mexico |
E897585
|
entity |
| Predicate | borderDirectionRelativeToNewMexico |
P201189
|
FINISHED |
| Object | eastern edge of New Mexico |
—
|
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: eastern edge of New Mexico | Statement: [Texico, New Mexico, borderDirectionRelativeToNewMexico, eastern edge of New Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDirectionRelativeToNewMexico Context triple: [Texico, New Mexico, borderDirectionRelativeToNewMexico, eastern edge of New Mexico]
-
A.
borderDirectionRelativeToTexas
Indicates the compass direction in which an entity’s border lies relative to the state of Texas.
-
B.
borderDirectionRelativeToNewYork
Indicates the compass direction in which an entity’s border lies relative to the location of New York.
-
C.
borderDirectionFromUS
Indicates the compass direction in which a country or region lies relative to the United States along their shared border.
-
D.
borderTypeWithMexico
Indicates the type or nature of the border that an entity shares with Mexico.
-
E.
borderCityOnMexicanSide
Indicates that a city is located on the Mexican side of an international border shared with another country.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69ffdd0486e08190a0f2ff4ce0aee13b |
completed | May 10, 2026, 1:19 a.m. |
Created at: May 3, 2026, 4:10 p.m.