Triple
T13924040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radfan mountains |
E334815
|
entity |
| Predicate | nearbyAdministrativeCenter |
P34698
|
FINISHED |
| Object |
Al Qabbaytah
Al Qabbaytah is a town in southwestern Yemen that serves as a local administrative center near the Radfan mountain range.
|
E1069765
|
NE FINISHED |
How this triple was built (4 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 Qabbaytah | Statement: [Radfan mountains, nearbyAdministrativeCenter, Al Qabbaytah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Qabbaytah Context triple: [Radfan mountains, nearbyAdministrativeCenter, Al Qabbaytah]
-
A.
Al-Qanayat
Al-Qanayat is a small city in Egypt’s Nile Delta region, located within the Sharqia Governorate.
-
B.
Al-Qari'atu
Al-Qari'atu is the striking, cataclysmic event described at the beginning of Surah Al-Qari'ah in the Qur'an, referring to the Day of Judgment.
-
C.
Al Habilayn
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
D.
Al-Haqqah
Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
-
E.
Al-Masad
Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Al Qabbaytah Triple: [Radfan mountains, nearbyAdministrativeCenter, Al Qabbaytah]
Generated description
Al Qabbaytah is a town in southwestern Yemen that serves as a local administrative center near the Radfan mountain range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Qabbaytah Target entity description: Al Qabbaytah is a town in southwestern Yemen that serves as a local administrative center near the Radfan mountain range.
-
A.
Al-Qanayat
Al-Qanayat is a small city in Egypt’s Nile Delta region, located within the Sharqia Governorate.
-
B.
Al-Qari'atu
Al-Qari'atu is the striking, cataclysmic event described at the beginning of Surah Al-Qari'ah in the Qur'an, referring to the Day of Judgment.
-
C.
Al Habilayn
chosen
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
D.
Al-Haqqah
Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
-
E.
Al-Masad
Al-Masad is the 111th chapter of the Qur’an, known for condemning Abu Lahab and his wife for their opposition to the Prophet Muhammad.
- F. None of above.
Provenance (5 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa6cd9881908f652538f4613f37 |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c45ba4819096233570d8d4afec |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6e596a081909843ea5173e60af4 |
completed | May 6, 2026, 8:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba74fe350819080eee658bca7eaf0 |
completed | May 6, 2026, 8:40 p.m. |
Created at: April 9, 2026, 10:16 p.m.