Triple
T12128508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanetsi people |
E288870
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Wanetsi (Tareeno) |
E46312
|
NE 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: Wanetsi (Tareeno) | Statement: [Wanetsi people, hasDialect, Wanetsi (Tareeno)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanetsi (Tareeno) Context triple: [Wanetsi people, hasDialect, Wanetsi (Tareeno)]
-
A.
Wanetsi
chosen
Wanetsi is a distinct and archaic variety of Pashto spoken by a small community in parts of Afghanistan and Pakistan.
-
B.
Wanze
Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
-
C.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
D.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
E.
Wazhazhe
Wazhazhe is the self-designation of the Osage people, a Native American nation originally from the central United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9157ce6b88190b16592cc48244db3 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.