Triple
T18613771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banu Najjar |
E454965
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ansar |
—
|
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: Ansar | Statement: [Banu Najjar, partOf, Ansar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansar Context triple: [Banu Najjar, partOf, Ansar]
-
A.
Ansar
chosen
Ansar were the early Muslim inhabitants of Medina who supported and sheltered the Prophet Muhammad and his followers after their migration from Mecca.
-
B.
Ansar
Ansar were the devoted followers and military supporters of the Mahdist movement in Sudan during the late 19th century.
-
C.
Ansar al-Din
Ansar al-Din is a Mali-based Islamist militant group known for its role in the 2012 Northern Mali conflict and its efforts to impose strict Sharia law.
-
D.
Amal militia
Amal militia is the armed wing of Lebanon’s Shia Amal Movement, historically active as a major militia during the Lebanese Civil War and in subsequent Lebanese politics and security affairs.
-
E.
Jaysh al-‘Usrah
Jaysh al-‘Usrah is the traditional Arabic name given to the Muslim army that participated in the difficult and resource-strained Tabuk expedition led by the Prophet Muhammad.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.