Triple
T8475015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinantecan languages |
E200367
|
entity |
| Predicate | haveISOCode |
P189
|
FINISHED |
| Object | various ISO 639-3 codes for individual varieties |
—
|
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: various ISO 639-3 codes for individual varieties | Statement: [Chinantecan languages, haveISOCode, various ISO 639-3 codes for individual varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveISOCode Context triple: [Chinantecan languages, haveISOCode, various ISO 639-3 codes for individual varieties]
-
A.
hasISOCode
chosen
Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
-
B.
hasISOCodeType
Indicates that an entity is associated with a specific type or category of ISO code (e.g., country code, currency code, language code).
-
C.
hasISO3166-1NumericCode
Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
-
D.
sharesISO3166CodeWith
Indicates that two entities are associated with and use the same ISO 3166 country code.
-
E.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f89e0081909e74beb7c8f55653 |
completed | March 31, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69cbd104250c8190b4c499dcc9937494 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.