Triple

T16044064
Position Surface form Disambiguated ID Type / Status
Subject Eritrea–Ethiopia standoff E389170 entity
Predicate relatedTo P37 FINISHED
Object Badme E1191797 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: Badme | Statement: [Eritrea–Ethiopia standoff, relatedTo, Badme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badme
Context triple: [Eritrea–Ethiopia standoff, relatedTo, Badme]
  • A. Badme chosen
    Badme is a disputed border town between Ethiopia and Eritrea that became a focal point of their 1998–2000 war.
  • B. Palhaça
    Palhaça is a civil parish in the municipality of Oliveira do Bairro, located in Portugal’s Aveiro District.
  • C. Manmadhudu
    Manmadhudu is a popular 2002 Telugu romantic comedy film starring Nagarjuna Akkineni, known for its witty humor and charming portrayal of a commitment-phobic ad executive.
  • D. Bajool
    Bajool is a small rural locality in Central Queensland, Australia, situated south of Rockhampton and known for its agricultural surroundings and proximity to transport routes.
  • E. Manmad
    Manmad is a major railway and commercial town in Maharashtra, India, known as an important junction connecting several key routes in the region.
  • 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_69ffeb893f988190a0693564bbe78ca1 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:56 a.m.