Triple

T16044121
Position Surface form Disambiguated ID Type / Status
Subject United Nations Mission in Ethiopia and Eritrea E389171 entity
Predicate symbol P129 FINISHED
Object UN blue helmet E117391 NE 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: UN blue helmet | Statement: [United Nations Mission in Ethiopia and Eritrea, symbol, UN blue helmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UN blue helmet
Context triple: [United Nations Mission in Ethiopia and Eritrea, symbol, UN blue helmet]
  • A. UN blue helmet chosen
    The UN blue helmet is the distinctive light-blue headgear worn by United Nations peacekeepers worldwide, symbolizing their neutral role in maintaining international peace and security.
  • B. Go Blue
    "Go Blue" is the iconic rallying cheer and slogan associated with the University of Michigan Wolverines and their athletic programs.
  • C. Columbia blue
    Columbia blue is a light, powdery shade of blue traditionally associated with and popularized by Columbia University.
  • D. Duke blue
    Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
  • E. Blue Coats
    Blue Coats is the nickname of the Delaware Blue Coats, an NBA G League basketball team based in Wilmington, Delaware.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835c5bd48190b5b47379bf51f84e completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd95d508190a21db435fb69f8d7 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.