Triple

T7343980
Position Surface form Disambiguated ID Type / Status
Subject ENEA E169327 entity
Predicate acronym P43 FINISHED
Object ENEA E169327 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: ENEA | Statement: [ENEA, acronym, ENEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENEA
Context triple: [ENEA, acronym, ENEA]
  • A. ENEA chosen
    ENEA is Italy’s national agency for new technologies, energy, and sustainable economic development, focused on research and innovation in fields such as energy, environment, and advanced technologies.
  • B. Energetica
    Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
  • C. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • D. Pontecorvo
    Pontecorvo is a historic town in central Italy’s Lazio region, known for its medieval architecture and strategic position along the Liri River.
  • E. Ersa
    Ersa is a minor figure in Greek mythology known as the personification of dew, traditionally regarded as a daughter of the Moon goddess Selene.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0ed78908190a169f094cb3f62f0 completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8a2a908190886e11a7d8df6c5e completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.