Triple
T10038794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As Sulayyil Governorate |
E205241
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | As Sulayyil |
E211428
|
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: As Sulayyil | Statement: [As Sulayyil Governorate, hasSettlement, As Sulayyil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: As Sulayyil Context triple: [As Sulayyil Governorate, hasSettlement, As Sulayyil]
-
A.
As Sulayyil
chosen
As Sulayyil is a small town in central Saudi Arabia known for its desert environment and agricultural activity supported by groundwater irrigation.
-
B.
El Malek El Saleh
El Malek El Saleh is a metro station in Cairo, Egypt, located on Line 1 of the Cairo Metro network.
-
C.
As-Samad
As-Samad is one of the names of Allah in Islam, signifying the One who is absolutely self-sufficient, eternally depended upon by all creation, and free of all need.
-
D.
Abu Lulu
Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
-
E.
Bir al-Abd
Bir al-Abd is a town in Egypt’s North Sinai region, known for its location along the Mediterranean coast and its role as a local administrative and commercial center.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee04afc8190904704d66e23a432 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b60e988c8190839a088e65b15d07 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:55 p.m.