Triple
T17589287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muqaddimah |
E428402
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | asabiyyah |
—
|
NE NERFINISHED |
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: asabiyyah | Statement: [Muqaddimah, mainSubject, asabiyyah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: asabiyyah Context triple: [Muqaddimah, mainSubject, asabiyyah]
-
A.
theory of asabiyyah
chosen
The theory of asabiyyah is Ibn Khaldun’s concept of social cohesion and group solidarity that explains the rise and fall of dynasties and civilizations.
-
B.
Wasatiyya
Wasatiyya is a town in northern Jordan located within the Irbid Governorate.
-
C.
Al-Tarafiyah
Al-Tarafiyah is a town located in Saudi Arabia’s north-central Ha'il Region.
-
D.
Ijma
Ijma is an Islamic legal principle referring to the consensus of qualified scholars on a religious or legal issue, serving as a source of Sharia alongside the Quran and Sunnah.
-
E.
Tabi‘iyyah
Tabi‘iyyah refers to a female member of the generation of Muslims who followed the female Companions of the Prophet Muhammad, learning from and transmitting their knowledge.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e62d5c81909134e30a6d0f2e20 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.