Triple
T7347061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karluk branch |
E169405
|
entity |
| Predicate | hasISOClassificationContext |
P76714
|
FINISHED |
| Object | Turkic languages in ISO 639-5 |
—
|
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: Turkic languages in ISO 639-5 | Statement: [Karluk branch, hasISOClassificationContext, Turkic languages in ISO 639-5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasISOClassificationContext Context triple: [Karluk branch, hasISOClassificationContext, Turkic languages in ISO 639-5]
-
A.
hasISOCodeType
Indicates that an entity is associated with a specific type or category of ISO code (e.g., country code, currency code, language code).
-
B.
isoClassificationStatus
Indicates the current status or stage of an entity within an ISO-based classification or standardization process.
-
C.
hasLCClassification
Indicates that an entity is assigned a specific Library of Congress Classification code representing its subject or shelving category.
-
D.
hasISOCode
Indicates that an entity is associated with a specific standardized ISO code that uniquely identifies it according to ISO conventions.
-
E.
hasUCIClassification
Indicates that an entity is assigned a specific classification according to the UCI (Union Cycliste Internationale) categorization system.
- F. None of above. chosen
Provenance (4 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1379cac81908b35e617c44c7b13 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:05 p.m.