Triple

T32473169
Position Surface form Disambiguated ID Type / Status
Subject Gendarmerie of the Islamic Republic of Iran E829898 entity
Predicate organizationalCharacter P176712 FINISHED
Object militarized police LITERAL FINISHED

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: militarized police | Statement: [Gendarmerie of the Islamic Republic of Iran, organizationalCharacter, militarized police]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: organizationalCharacter
Context triple: [Gendarmerie of the Islamic Republic of Iran, organizationalCharacter, militarized police]
  • A. ownerCharacterization
    Indicates how an owner is characterized or described in relation to the entity they own.
  • B. authorityCharacterization chosen
    Indicates how the nature, quality, or type of authority held by one entity is characterized or described in relation to another.
  • C. workCharacter
    Indicates that a person is a fictional or narrative character appearing in a particular creative work.
  • D. roleCharacteristic
    Indicates that a particular characteristic, quality, or attribute is associated with and helps define a given role or function.
  • E. structuralCharacter
    Indicates the inherent structural properties or configuration that characterize how something is built, organized, or composed.
  • 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_69f3491ee87c81908cbf5890079c2af6 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7b5ccbda481908fe1945c35e36ce8 completed May 3, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f7b4c06f5881908f0b98cad6796478 completed May 3, 2026, 8:49 p.m.
Created at: May 1, 2026, 12:57 a.m.