Triple
T10929624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wail al-Shehri |
E258165
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | al-Shehri |
E778347
|
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-Shehri | Statement: [Wail al-Shehri, familyName, al-Shehri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Shehri Context triple: [Wail al-Shehri, familyName, al-Shehri]
-
A.
al-Shehri
chosen
al-Shehri is an Arabic family name commonly associated with individuals from the Arabian Peninsula, particularly Saudi Arabia.
-
B.
al-Wasta
al-Wasta is a town in Egypt’s Beni Suef Governorate, located in Upper Egypt along the Nile River.
-
C.
At-Turaif
At-Turaif is a historic district in Diriyah, Saudi Arabia, renowned as the original home of the Saudi royal family and a UNESCO World Heritage Site.
-
D.
Al-Zulfi
Al-Zulfi is a city in central Saudi Arabia known as an agricultural and commercial center on the edge of the Nafud desert.
-
E.
Al-Shuwaikh
Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709eb0ec819093f7d3f99097bbe4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2175711d4819088f93bdf64ba4d3f |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.