Triple

T9661486
Position Surface form Disambiguated ID Type / Status
Subject Dhi Qar Governorate E233598 entity
Predicate hasCity P316 FINISHED
Object Shatrah
Shatrah is a town in southern Iraq known as an administrative and commercial center within the Dhi Qar Governorate.
 E812795 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: Shatrah | Statement: [Dhi Qar Governorate, hasCity, Shatrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shatrah
Context triple: [Dhi Qar Governorate, hasCity, Shatrah]
  • A. Šahy
    Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
  • B. Fiez
    Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
  • C. Rook
    Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
  • D. Shach
    Shach (an acronym for "Siftei Kohen") is a major 17th-century rabbinic commentator best known for his authoritative glosses on the Shulchan Aruch, particularly in Jewish civil and ritual law.
  • E. Mhysa
    "Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
  • 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: Shatrah
Triple: [Dhi Qar Governorate, hasCity, Shatrah]
Generated description
Shatrah is a town in southern Iraq known as an administrative and commercial center within the Dhi Qar Governorate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shatrah
Target entity description: Shatrah is a town in southern Iraq known as an administrative and commercial center within the Dhi Qar Governorate.
  • A. Šahy
    Šahy is a small town in southern Slovakia near the Hungarian border, known for its historical ties to both Slovak and Hungarian cultures.
  • B. Fiez
    Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
  • C. Rook
    Rook is an open-source cloud-native storage orchestrator for Kubernetes that automates the deployment, management, and scaling of storage systems.
  • D. Shach
    Shach (an acronym for "Siftei Kohen") is a major 17th-century rabbinic commentator best known for his authoritative glosses on the Shulchan Aruch, particularly in Jewish civil and ritual law.
  • E. Mhysa
    "Mhysa" is a musical piece from the Game of Thrones television score, best known as the powerful choral theme associated with Daenerys Targaryen’s liberation of the slaves in the Season 3 finale.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0a15e4819092ea0fb2cb6e1c12 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0ff7548190ae438c4a334058ac completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18a8e0fbc8190912439815bab4677 completed April 4, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69d18afe54c88190846a873443aa56ef completed April 4, 2026, 10:04 p.m.
Created at: March 30, 2026, 8:14 p.m.