Triple
T25442066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haji Bektash Veli |
E637532
|
entity |
| Predicate | languageOfLegacy |
P6149
|
FINISHED |
| Object | Turkish |
—
|
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: Turkish | Statement: [Haji Bektash Veli, languageOfLegacy, Turkish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLegacy Context triple: [Haji Bektash Veli, languageOfLegacy, Turkish]
-
A.
heritageLanguage
chosen
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
B.
hasLinguisticLegacy
Indicates that one entity has left a lasting influence or enduring impact on the language, linguistic practices, or linguistic development associated with another entity.
-
C.
hasLinguisticHeritage
Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
-
D.
languageOfHistoricalRecord
Indicates the language in which a given historical record is written or recorded.
-
E.
traditionalLanguageName
Indicates the name traditionally used in a particular language to refer to the subject 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_69e75db6c97081908178383fa632b193 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 21, 2026, 2 p.m.