Triple

T8366892
Position Surface form Disambiguated ID Type / Status
Subject Nablus Governorate E197149 entity
Predicate containsTown P847 FINISHED
Object Aqraba
Aqraba is a Palestinian town in the Nablus area of the northern West Bank, known for its agricultural lands and rural character.
E728116 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: Aqraba | Statement: [Nablus Governorate, containsTown, Aqraba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqraba
Context triple: [Nablus Governorate, containsTown, Aqraba]
  • A. Aqrabi
    Aqrabi was a small sultanate and tribal territory in what is now southern Yemen, historically incorporated into the British-backed Federation of South Arabia.
  • B. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • C. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • D. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • E. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • 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: Aqraba
Triple: [Nablus Governorate, containsTown, Aqraba]
Generated description
Aqraba is a Palestinian town in the Nablus area of the northern West Bank, known for its agricultural lands and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aqraba
Target entity description: Aqraba is a Palestinian town in the Nablus area of the northern West Bank, known for its agricultural lands and rural character.
  • A. Aqrabi
    Aqrabi was a small sultanate and tribal territory in what is now southern Yemen, historically incorporated into the British-backed Federation of South Arabia.
  • B. Za'atara
    Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
  • C. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • D. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • E. Ain Draham
    Ain Draham is a mountainous resort town in northwestern Tunisia known for its dense cork oak forests, cool climate, and popularity as an eco-tourism and hiking destination.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808cf80c8190941c3cc0248a5df2 completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc78c0c208190ba590c74512a4043 completed April 2, 2026, 1:34 a.m.
NEDg Description generation batch_69cdcc88456c8190ba8613b4cbf40fbb completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd75714881908f0b069a94ee334f completed April 2, 2026, 1:59 a.m.
Created at: March 30, 2026, 6 p.m.