Triple

T8933020
Position Surface form Disambiguated ID Type / Status
Subject Akosombo Agreement E212702 entity
Predicate warringPartyCovered P21502 FINISHED
Object ULIMO E767819 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: ULIMO | Statement: [Akosombo Agreement, warringPartyCovered, ULIMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ULIMO
Context triple: [Akosombo Agreement, warringPartyCovered, ULIMO]
  • A. ULIMO-K chosen
    ULIMO-K was a predominantly Mandingo faction of the United Liberation Movement of Liberia for Democracy that operated as an armed group during the First Liberian Civil War.
  • B. LIM
    LIM is the IATA airport code for Jorge Chávez International Airport, the main international gateway serving Lima, Peru.
  • C. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb856560819085132abe9ef94819 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:57 p.m.