Triple
T15472129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahl |
E376686
|
entity |
| Predicate | writtenForm |
P2203
|
FINISHED |
| Object | Sahl |
E700916
|
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: Sahl | Statement: [Sahl, writtenForm, Sahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahl Context triple: [Sahl, writtenForm, Sahl]
-
A.
Sahl
chosen
Sahl was a prominent early Muslim mystic and ascetic, best known as Sahl al-Tustari, whose teachings significantly influenced Sufi thought.
-
B.
Sahl
Sahl is the surname of Mort Sahl, a pioneering American political satirist and stand-up comedian known for his sharp, socially conscious humor.
-
C.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
-
D.
Sahnun
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.
-
E.
Saqilatuh
Saqilatuh is a town located within Egypt’s Sohag Governorate in Upper Egypt.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3657972481909219bc040f674c02 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:33 a.m.