Triple
T15152814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Audhali Sultanate |
E361991
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Al Audhal |
E1069765
|
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: Al Audhal | Statement: [Audhali Sultanate, capital, Al Audhal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Audhal Context triple: [Audhali Sultanate, capital, Al Audhal]
-
A.
Muladis
Muladis were Muslims in medieval Iberia who were originally local Christians that had converted to Islam, often blending Arab-Islamic and Iberian cultural elements.
-
B.
Alkham
Alkham is a rural village and civil parish in Kent, England, situated in a valley between Dover and Folkestone.
-
C.
Hedaya
Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
-
D.
Al Habilayn
chosen
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
E.
Hüdavendigâr
Hüdavendigâr is the honorific title of Ottoman sultan Murad I, renowned for expanding Ottoman rule deep into the Balkans in the 14th century.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff6344c819085a105c6bcf835bc |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.