Triple
T2701979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern New Mexico |
E59249
|
entity |
| Predicate | hasLanguageTradition |
P28812
|
FINISHED |
| Object | English |
—
|
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 | Statement: [Northern New Mexico, hasLanguageTradition, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageTradition Context triple: [Northern New Mexico, hasLanguageTradition, English]
-
A.
hasSourceTradition
Indicates that something originates from, or is derived within, a particular cultural, religious, intellectual, or historical tradition.
-
B.
hasTraditionalDialect
chosen
Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
-
C.
hasLinguisticHeritage
Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
-
D.
hasRichOralTradition
Indicates that an entity is associated with a longstanding, culturally significant body of stories, histories, or knowledge transmitted primarily through spoken word rather than written texts.
-
E.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4e679c8190a2926284568d9020 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.