Triple
T8990236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahaba |
E214769
|
entity |
| Predicate | hasSingularForm |
P5088
|
FINISHED |
| Object | Sahabi |
E214769
|
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: Sahabi | Statement: [Sahaba, hasSingularForm, Sahabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahabi Context triple: [Sahaba, hasSingularForm, Sahabi]
-
A.
Sahaba
chosen
The Sahaba are the companions of the Prophet Muhammad, revered in Islam as his closest followers and the earliest Muslims who transmitted his teachings.
-
B.
Sahabiyyah
A Sahabiyyah is a female companion of the Prophet Muhammad recognized in Islamic tradition for her faith, closeness to him, and role in the early Muslim community.
-
C.
Al-Shuyukh
Al-Shuyukh is a Palestinian village located in the Hebron Governorate in the southern West Bank.
-
D.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
E.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68733548819096a5ba0ff41e43da |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb51c9fc81908d86858f10c9ab62 |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:04 p.m.