Triple
T19409380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukharic |
E485549
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Bukhari |
—
|
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: Bukhari | Statement: [Bukharic, alternativeName, Bukhari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bukhari Context triple: [Bukharic, alternativeName, Bukhari]
-
A.
Bukhari
chosen
Bukhari is a Jewish dialect of Tajik (a variety of Persian) traditionally spoken by the Bukharan Jewish community of Central Asia.
-
B.
Khayaban-e-Bukhari
Khayaban-e-Bukhari is a prominent commercial and residential thoroughfare in Karachi, Pakistan, known for its upscale boutiques, eateries, and modern urban development.
-
C.
Sahih al-Bukhari
Sahih al-Bukhari is one of the most authoritative and widely respected collections of hadith in Sunni Islam, compiled by the scholar Muhammad al-Bukhari in the 9th century.
-
D.
Sahih Muslim
Sahih Muslim is one of the most authentic and widely respected collections of hadith in Sunni Islam, compiled by the scholar Muslim ibn al-Hajjaj.
-
E.
Sunan al-Nasa’i
Sunan al-Nasa’i is one of the six major Sunni hadith collections, compiled by the scholar Ahmad ibn Shu'ayb al-Nasa’i and renowned for its relative rigor in authenticating prophetic traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af3eaa081909e9537a2c57dc6c1 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.