Triple
T13343203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McKinley County, New Mexico |
E317877
|
entity |
| Predicate | hasPrimaryLanguageCommunities |
P5562
|
FINISHED |
| Object | English speakers |
—
|
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: English speakers | Statement: [McKinley County, New Mexico, hasPrimaryLanguageCommunities, English speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLanguageCommunities Context triple: [McKinley County, New Mexico, hasPrimaryLanguageCommunities, English speakers]
-
A.
hasLanguageCommunity
chosen
Indicates that an entity is associated with or serves a particular language community.
-
B.
isSpokenPrimarilyByTribalCommunities
Indicates that a language is used mainly as the primary means of communication by tribal or indigenous communities.
-
C.
hasLanguageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
D.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
E.
hasMinorityLanguageServices
Indicates that an entity provides services specifically tailored for speakers of minority or less widely used languages.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99e8839b48190b164414b418e756c |
completed | April 11, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.