Triple

T12736076
Position Surface form Disambiguated ID Type / Status
Subject EKKA E304365 entity
Predicate hadTenseRelationsWith P47731 FINISHED
Object ELAS E337168 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: ELAS | Statement: [EKKA, hadTenseRelationsWith, ELAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ELAS
Context triple: [EKKA, hadTenseRelationsWith, ELAS]
  • A. ELAS chosen
    ELAS was the main Greek resistance army during World War II, closely linked to the communist-led National Liberation Front (EAM), and played a central role in the fight against Axis occupation.
  • B. EALA
    EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
  • C. ELAS guerrillas
    ELAS guerrillas were the armed resistance fighters of the Greek People’s Liberation Army, the main communist-led partisan force opposing Axis occupation in Greece during World War II.
  • D. ELN
    ELN was the stock ticker symbol for Elan Pharmaceuticals, an Irish biotechnology company known for developing treatments for neurological and autoimmune diseases.
  • E. ENAS
    ENAS (Efficient Neural Architecture Search) is a method that dramatically reduces the computational cost of neural architecture search by sharing parameters among many candidate architectures within a single super-network.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96facb2d48190bc12efc00c9da360 completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8e2dbc81909c1c85ca699a2679 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:26 p.m.