Triple

T17738454
Position Surface form Disambiguated ID Type / Status
Subject Zaghouan Governorate E442786 entity
Predicate hasCity P316 FINISHED
Object Zriba
Zriba is a small town in northeastern Tunisia, known for its traditional architecture and proximity to the historic city of Zaghouan.
 E1286305 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: Zriba | Statement: [Zaghouan Governorate, hasCity, Zriba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zriba
Context triple: [Zaghouan Governorate, hasCity, Zriba]
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Zirkuh
    Zirkuh is a city in eastern Iran that serves as one of the urban centers of South Khorasan Province.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Zangilan
    Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • E. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • 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: Zriba
Triple: [Zaghouan Governorate, hasCity, Zriba]
Generated description
Zriba is a small town in northeastern Tunisia, known for its traditional architecture and proximity to the historic city of Zaghouan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zriba
Target entity description: Zriba is a small town in northeastern Tunisia, known for its traditional architecture and proximity to the historic city of Zaghouan.
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Zirkuh
    Zirkuh is a city in eastern Iran that serves as one of the urban centers of South Khorasan Province.
  • C. Bakhdida
    Bakhdida is a historically Assyrian Christian town in northern Iraq, known for its ancient churches and location in the Nineveh Plains near Mosul.
  • D. Zangilan
    Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
  • E. Zigra
    Zigra is a monstrous alien shark-like kaiju from the Gamera film series, known for invading Earth and battling the giant turtle guardian.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47aca27448190943c75e723ceefcc completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efb0cb1881909065885ae936d82f completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f033da3081908124079eedc3a5c7 completed May 12, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a02f103b3c8819097dda16ec3dfa84e completed May 12, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:09 a.m.