Triple
T6852629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahnun |
E158058
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sahnun |
E158058
|
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: Sahnun | Statement: [Sahnun, name, Sahnun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahnun Context triple: [Sahnun, name, Sahnun]
-
A.
Sahnun
chosen
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
B.
Bawshar
Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
-
C.
Abu Sneineh
Abu Sneineh is an Arabic family name notably borne by Taysir Abu Sneineh, a Palestinian political figure.
-
D.
El Mounib
El Mounib is a district in Giza, Egypt, known for serving as a major southern transport hub on the Cairo Metro network.
-
E.
Djoum
Djoum is a small town in southern Cameroon known as a local administrative and trading center within the country's South Region.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84fffbc8190943ca7f3f03937e9 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fd79e508190b00e45f9cceb3e21 |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:20 p.m.