Triple
T38695105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pathan |
E949975
|
entity |
| Predicate | culturalCodeAssociated |
P9507
|
FINISHED |
| Object | Pashtunwali |
—
|
NE NERFINISHED |
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: Pashtunwali | Statement: [Pathan, culturalCodeAssociated, Pashtunwali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalCodeAssociated Context triple: [Pathan, culturalCodeAssociated, Pashtunwali]
-
A.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
B.
culturalIdentifier
Indicates that one entity serves as a marker, label, or attribute that identifies or characterizes the cultural affiliation, background, or context of another entity.
-
C.
culturalRegister
Indicates the level or type of formality, style, or social context in which language or behavior is used or appropriate.
-
D.
hasCulturalDimensionWith
Indicates that one entity possesses or is associated with a particular cultural dimension in relation to another entity.
-
E.
hasCulturalConcept
chosen
Indicates that an entity embodies, includes, or is associated with a particular cultural idea, value, practice, or construct.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 3, 2026, 4:33 p.m.