Triple
T12601256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khaldun |
E300862
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Khaldūn |
E300862
|
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: Khaldūn | Statement: [Khaldun, hasVariantTransliteration, Khaldūn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khaldūn Context triple: [Khaldun, hasVariantTransliteration, Khaldūn]
-
A.
Khaldun
chosen
Khaldun is a male given name of Arabic origin, historically associated with the famous Muslim historian and philosopher Ibn Khaldun.
-
B.
Khudayar
Khudayar is a male given name most notably associated with Khudayar Khan, a 19th-century ruler of the Khanate of Kokand in Central Asia.
-
C.
Khulays
Khulays is a town in western Saudi Arabia situated within the Makkah administrative region.
-
D.
Khalde
Khalde is a coastal town just south of Beirut in Lebanon, known for its strategic location near the capital’s main international airport and along the Mediterranean shoreline.
-
E.
Kalhori
Kalhori is a major dialect of Southern Kurdish spoken primarily in western Iran, particularly in parts of Kermanshah and Ilam provinces.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d1f6ac8190ab21ca7bcbc80129 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ec92c6c8190bd2d193e70940407 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:09 p.m.