Triple
T13058206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han |
E327631
|
entity |
| Predicate | relatedTitle |
P914
|
FINISHED |
| Object | Emir |
E289417
|
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: Emir | Statement: [Han, relatedTitle, Emir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emir Context triple: [Han, relatedTitle, Emir]
-
A.
Emir of Daura
The Emir of Daura is the hereditary monarch and spiritual-traditional leader of the historic Daura emirate in northern Nigeria, regarded as one of the oldest Hausa royal institutions.
-
B.
Califa
Califa is an alternative transliteration of the Arabic title "Khalifa," commonly referring to a caliph or Islamic leader.
-
C.
Emirs
chosen
Emirs are traditional Muslim rulers or leaders, particularly in parts of West Africa and the Middle East, who hold significant religious, cultural, and sometimes political authority within their communities.
-
D.
Ameer
Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
-
E.
Ghulfan
Ghulfan is a Nubian language spoken by the Ghulfan people in the Nuba Mountains region of Sudan.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.