Triple
T36428366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Vista |
E897369
|
entity |
| Predicate | usedAsCityName |
P99228
|
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: [Monte Vista, usedAsCityName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsCityName Context triple: [Monte Vista, usedAsCityName, true]
-
A.
usedAsTownNameFor
chosen
Indicates that something serves as the official or common name of a particular town.
-
B.
usedCity
Indicates that an entity made use of or operated within a particular city as part of its activities or functions.
-
C.
usedForCapitalOf
Indicates that something serves as the capital city or primary administrative center of a specified political or geographic entity.
-
D.
usedInCity
Indicates that something is utilized, applied, or operates within the context or boundaries of a particular city.
-
E.
laterUsedInCity
Indicates that something was subsequently utilized or implemented within a particular city.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4:10 p.m.