Triple
T8582788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badînî |
E203223
|
entity |
| Predicate | sharesFeatureWithKurmanji |
P5696
|
FINISHED |
| Object | ergative alignment in past transitive constructions |
—
|
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: ergative alignment in past transitive constructions | Statement: [Badînî, sharesFeatureWithKurmanji, ergative alignment in past transitive constructions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesFeatureWithKurmanji Context triple: [Badînî, sharesFeatureWithKurmanji, ergative alignment in past transitive constructions]
-
A.
sharesFeatureWith
chosen
Indicates that two entities have at least one common attribute, property, or characteristic in common.
-
B.
sharesTjukurpaWith
Indicates that one entity shares or transmits Tjukurpa (sacred law, stories, or spiritual knowledge) with another entity.
-
C.
sharesLanguageWith
Indicates that two entities use at least one common language for communication.
-
D.
shareFeature
Indicates that two or more entities possess at least one common attribute, property, or characteristic.
-
E.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1d0edc8190b4495935275252f3 |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:22 p.m.