Triple
T11066712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waneci |
E261642
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Tareen |
E261641
|
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: Tareen | Statement: [Waneci, ethnicGroup, Tareen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tareen Context triple: [Waneci, ethnicGroup, Tareen]
-
A.
Spin Tareen
Spin Tareen is a sub-clan of the Tareen Pashtun tribe, traditionally found in parts of Afghanistan and Pakistan.
-
B.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
C.
Tareeno
chosen
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.
Taahirah
Taahirah is the eldest daughter of former NBA star Shaquille O'Neal, known for largely maintaining a private life outside of the spotlight.
-
E.
Barkat
Barkat was one of the prominent martyrs of the Bengali Language Movement in East Bengal, remembered for sacrificing his life in the struggle to preserve the Bengali language and cultural identity.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79920428c81908db824ab54e08e8d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d6070248190adb8e74daff09f83 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:26 p.m.