Triple

T16361920
Position Surface form Disambiguated ID Type / Status
Subject Irbid Governorate E397332 entity
Predicate hasCity P316 FINISHED
Object Al-Acefer
Al-Acefer is a town located within Jordan’s northern Irbid Governorate.
 E1208131 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-Acefer | Statement: [Irbid Governorate, hasCity, Al-Acefer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al-Acefer
Context triple: [Irbid Governorate, hasCity, Al-Acefer]
  • A. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • B. Al-Dhali'
    Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
  • C. Al-Shuyukh
    Al-Shuyukh is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Belqasim
    Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
  • E. Al-Duri
    Al-Duri was a prominent early Islamic scholar and Qur’anic reciter best known as one of the principal transmitters of the canonical reading of Abu Amr ibn al-Ala.
  • 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-Acefer
Triple: [Irbid Governorate, hasCity, Al-Acefer]
Generated description
Al-Acefer is a town located within Jordan’s northern Irbid Governorate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al-Acefer
Target entity description: Al-Acefer is a town located within Jordan’s northern Irbid Governorate.
  • A. Al-Hareeq
    Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
  • B. Al-Dhali'
    Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
  • C. Al-Shuyukh
    Al-Shuyukh is a Palestinian village located in the Hebron Governorate in the southern West Bank.
  • D. Belqasim
    Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
  • E. Al-Duri
    Al-Duri was a prominent early Islamic scholar and Qur’anic reciter best known as one of the principal transmitters of the canonical reading of Abu Amr ibn al-Ala.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff39f8308190865d024734992a76 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002ed2ddf0819083be2dd80810ac78 completed May 10, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_6a002f8fdefc8190bf893c7dc22c9f0b completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.