Triple

T9097454
Position Surface form Disambiguated ID Type / Status
Subject L86 E218062 entity
Predicate engineFamily P18926 FINISHED
Object EcoTec3 E216722 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: EcoTec3 | Statement: [L86, engineFamily, EcoTec3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EcoTec3
Context triple: [L86, engineFamily, EcoTec3]
  • A. EcoTec3 V8 chosen
    EcoTec3 V8 is a family of General Motors small-block V8 gasoline engines known for combining direct injection, variable valve timing, and cylinder deactivation to improve power and fuel efficiency in trucks and SUVs.
  • B. Eco-Power
    Eco-Power is a company whose naming rights sponsorship is associated with the Eco-Power Stadium, indicating its role as a commercial brand in the energy or environmental sector.
  • C. EcoJet
    EcoJet is a Bolivian regional airline that operates domestic flights, using Viru Viru International Airport in Santa Cruz as its main base of operations.
  • D. Eco
    Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
  • E. Eco
    Eco is an Italian surname most famously borne by Umberto Eco, the renowned novelist, philosopher, and semiotician.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.