Triple

T12627934
Position Surface form Disambiguated ID Type / Status
Subject English National Opera E301563 entity
Predicate alsoKnownAs P39 FINISHED
Object ENO E992433 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: ENO | Statement: [English National Opera, alsoKnownAs, ENO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ENO
Context triple: [English National Opera, alsoKnownAs, ENO]
  • A. ENO chosen
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • B. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • C. ENA
    ENA is a prestigious French grande école that trained many of the country’s top civil servants and political leaders.
  • D. EO
    EO is the IATA airline designator assigned to Pegas Fly, a Russian passenger airline.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686f9ba48190bd82b2bb037d7d7a completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:15 p.m.