Triple

T8327990
Position Surface form Disambiguated ID Type / Status
Subject ECOMIL E195001 entity
Predicate precededBy P97 FINISHED
Object ECOMOG E581911 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: ECOMOG | Statement: [ECOMIL, precededBy, ECOMOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECOMOG
Context triple: [ECOMIL, precededBy, ECOMOG]
  • A. ECOMOG chosen
    ECOMOG was a West African multilateral military force formed by ECOWAS that intervened in regional conflicts, notably in Liberia and Sierra Leone, to restore stability and support legitimate governments.
  • B. ECOMIL
    ECOMIL was a West African regional peacekeeping force deployed to stabilize Liberia and support the end of the Second Liberian Civil War.
  • C. ECOA
    ECOA is a U.S. federal law that prohibits discrimination in credit transactions based on characteristics such as race, sex, marital status, religion, national origin, age, or receipt of public assistance.
  • D. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • E. ECA
    ECA is the commonly used acronym for the U.S. Department of State’s Bureau of Educational and Cultural Affairs, which oversees international exchange and cultural diplomacy programs.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f8243288190b1ae74d69395fc91 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde78855908190a87a0d3456c0e8ef completed April 2, 2026, 3:50 a.m.
Created at: March 30, 2026, 5:56 p.m.