Triple

T20322701
Position Surface form Disambiguated ID Type / Status
Subject Taiz Governorate E492246 entity
Predicate containsCity P294 FINISHED
Object Al Maafer
Al Maafer is a district-level settlement in Yemen located within the Taiz Governorate.
E1423858 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 Maafer | Statement: [Taiz Governorate, containsCity, Al Maafer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Maafer
Context triple: [Taiz Governorate, containsCity, Al Maafer]
  • A. Al-Taysir
    Al-Taysir is a seminal medical treatise by the Andalusian physician Ibn Zuhr that systematizes clinical observations and treatments in a clear, practical format.
  • B. Mudon Al Salam
    Mudon Al Salam is a residential sub-community within Dubai’s larger Mudon development, known for its townhouses, family-friendly environment, and community amenities.
  • C. 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.
  • D. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • E. Al Mushrif
    Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
  • 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 Maafer
Triple: [Taiz Governorate, containsCity, Al Maafer]
Generated description
Al Maafer is a district-level settlement in Yemen located within the Taiz Governorate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al Maafer
Target entity description: Al Maafer is a district-level settlement in Yemen located within the Taiz Governorate.
  • A. Al-Taysir
    Al-Taysir is a seminal medical treatise by the Andalusian physician Ibn Zuhr that systematizes clinical observations and treatments in a clear, practical format.
  • B. Mudon Al Salam
    Mudon Al Salam is a residential sub-community within Dubai’s larger Mudon development, known for its townhouses, family-friendly environment, and community amenities.
  • C. 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.
  • D. Lasalimu
    Lasalimu is a coastal town and district in Southeast Sulawesi, Indonesia, known as a local administrative and transit area in the region.
  • E. Al Mushrif
    Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
  • F. None of above. chosen

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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778d95dc81909b1c87d26b5d3a33 completed April 20, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08612ae0fc8190b71aed985088eb59 completed May 16, 2026, 12:20 p.m.
NEDg Description generation batch_6a0862c7eaa081909932483432f2fa9a completed May 16, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08634352288190976327bca8ea3986 completed May 16, 2026, 12:29 p.m.
Created at: April 16, 2026, 11:20 a.m.