Triple

T20322706
Position Surface form Disambiguated ID Type / Status
Subject Taiz Governorate E492246 entity
Predicate containsCity P294 FINISHED
Object Hayfan
Hayfan is a town located within Yemen’s Taiz Governorate, an area known for its mountainous terrain and role in the country’s ongoing conflict.
 E1423863 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: Hayfan | Statement: [Taiz Governorate, containsCity, Hayfan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hayfan
Context triple: [Taiz Governorate, containsCity, Hayfan]
  • A. Hane
    Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
  • B. Hain
    Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
  • C. Hanifan
    Hanifan is a surname most notably associated with Jim Hanifan, an American football coach and former player.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • 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: Hayfan
Triple: [Taiz Governorate, containsCity, Hayfan]
Generated description
Hayfan is a town located within Yemen’s Taiz Governorate, an area known for its mountainous terrain and role in the country’s ongoing conflict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hayfan
Target entity description: Hayfan is a town located within Yemen’s Taiz Governorate, an area known for its mountainous terrain and role in the country’s ongoing conflict.
  • A. Hane
    Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
  • B. Hain
    Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
  • C. Hanifan
    Hanifan is a surname most notably associated with Jim Hanifan, an American football coach and former player.
  • D. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • E. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • 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.