Triple

T28027273
Position Surface form Disambiguated ID Type / Status
Subject al-Askari Shrine E708157 entity
Predicate reconstructionSupervisedBy P52423 FINISHED
Object Iraqi government NE NERFINISHED

How this triple was built (2 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: Iraqi government | Statement: [al-Askari Shrine, reconstructionSupervisedBy, Iraqi government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reconstructionSupervisedBy
Context triple: [al-Askari Shrine, reconstructionSupervisedBy, Iraqi government]
  • A. restorationSupervisedBy chosen
    Indicates that the restoration process of an object or site is overseen, directed, or managed by a specified supervising entity.
  • B. reconstructionInitiatedBy
    Indicates that a reconstruction process or activity is started or triggered by a particular agent or entity.
  • C. reconstructedIn
    Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
  • D. reconstructionFor
    Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
  • E. reconstructedAsPartOf
    Indicates that one entity has been rebuilt, restored, or recreated as a component or segment of another, larger whole.
  • F. None of above.

Provenance (3 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_69ef9b6bdd9c8190bb3a574a03774ad1 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 8:13 p.m.