Triple
T6839968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hud |
E157545
|
entity |
| Predicate | regionAssociated |
P21614
|
FINISHED |
| Object | Al-Ahqaf |
E228973
|
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-Ahqaf | Statement: [Hud, regionAssociated, Al-Ahqaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Ahqaf Context triple: [Hud, regionAssociated, Al-Ahqaf]
-
A.
Al-Ahqaf
chosen
Al-Ahqaf is the 46th chapter of the Qur’an, known for addressing themes of monotheism, prophecy, and the fate of past nations such as the people of ‘Ad.
-
B.
Al-Hijr
Al-Hijr is the 15th chapter of the Qur’an, known for its themes of divine revelation, the fate of past nations, and the protection of the Qur’anic message.
-
C.
Ad-Dukhan
Ad-Dukhan is the 44th chapter (surah) of the Qur’an, known for its themes of divine warning, the “smoke” sign, and the consequences faced by those who reject the truth.
-
D.
Al Sufouh
Al Sufouh is a coastal district in Dubai known for its mix of residential communities, business hubs, and proximity to major landmarks such as Dubai Marina and Palm Jumeirah.
-
E.
Adh-Dhahiriya
Adh-Dhahiriya is a Palestinian town in the southern West Bank known for its historic cave dwellings and agricultural character.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fb4f80081908198c8270633d34a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:19 p.m.