Triple

T14193024
Position Surface form Disambiguated ID Type / Status
Subject Wahidi E351760 entity
Predicate hasCapital P204 FINISHED
Object Habban
Habban is a town in Yemen known historically as an important local center in the Hadhramaut region.
E1091588 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: Habban | Statement: [Wahidi, hasCapital, Habban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Habban
Context triple: [Wahidi, hasCapital, Habban]
  • A. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • B. Harun
    Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
  • C. Abu Habba
    Abu Habba is an ancient Mesopotamian archaeological site in modern-day Iraq, best known as the location of the Sumerian city of Sippar.
  • D. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • E. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • 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: Habban
Triple: [Wahidi, hasCapital, Habban]
Generated description
Habban is a town in Yemen known historically as an important local center in the Hadhramaut region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Habban
Target entity description: Habban is a town in Yemen known historically as an important local center in the Hadhramaut region.
  • A. Hammad
    Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
  • B. Harun
    Harun is the Islamic prophet Aaron, brother of Moses, revered for his prophethood and leadership among the Israelites.
  • C. Abu Habba
    Abu Habba is an ancient Mesopotamian archaeological site in modern-day Iraq, best known as the location of the Sumerian city of Sippar.
  • D. Husan
    Husan is a Palestinian village located in the Bethlehem Governorate of the West Bank.
  • E. Abdus
    Abdus is a given name most notably borne by Abdus Salam, the Pakistani theoretical physicist and Nobel laureate.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e0a52081908213aa6e548d4418 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0a172c819096874f1bdd290cbb completed May 8, 2026, 1:31 a.m.
NEDg Description generation batch_69fd3edf42788190b50b1144a7de41df completed May 8, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69fd3fbd931081908ba0b1838d9be49c completed May 8, 2026, 1:43 a.m.
Created at: April 10, 2026, 1:04 a.m.