Triple
T17387206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramah (part), New Mexico |
E422717
|
entity |
| Predicate | isInWesternUnitedStates |
P31111
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ramah (part), New Mexico, isInWesternUnitedStates, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInWesternUnitedStates Context triple: [Ramah (part), New Mexico, isInWesternUnitedStates, true]
-
A.
isInUSState
Indicates that one entity (typically a place or location) is geographically located within the boundaries of a specific U.S. state.
-
B.
isInWesternPartOf
chosen
Indicates that one entity is located within the western part or region of another entity.
-
C.
isInUnitedStates
Indicates that one entity is located within the geographic or political boundaries of the United States.
-
D.
locatedInUSRegion
Indicates that one entity is geographically situated within a specified region of the United States.
-
E.
isInNorthernOrSouthernCalifornia
Indicates that an entity is located within either the northern or southern region of California.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8a93f48190a31f5cc58d950758 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.