Triple
T9270360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad al-Bukhari |
E222807
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Khartank |
E789045
|
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: Khartank | Statement: [Muhammad al-Bukhari, burialPlace, Khartank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khartank Context triple: [Muhammad al-Bukhari, burialPlace, Khartank]
-
A.
Khartank
chosen
Khartank is a locality near Samarkand in present-day Uzbekistan, historically notable as the place where the eminent Islamic scholar Muhammad al-Bukhari died.
-
B.
Ghanayem
Ghanayem is a city in Egypt’s Asyut Governorate, known as one of the region’s principal urban centers.
-
C.
Dakhal
Dakhal is an acclaimed Indian Bengali film directed by Goutam Ghose, known for its socially conscious portrayal of marginalized communities and rural injustices.
-
D.
Habash
Habash is an Arabic surname most notably associated with George Habash, the Palestinian Christian physician and founder of the Popular Front for the Liberation of Palestine.
-
E.
Karam
Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078525308190abfb883123742d3f |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1ecfadc81909adf95fbbc77c389 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:33 p.m.