Triple

T17366785
Position Surface form Disambiguated ID Type / Status
Subject EngC E422205 entity
Predicate hasAbbreviation P43 FINISHED
Object EngC NE ONNED1

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: EngC | Statement: [EngC, hasAbbreviation, EngC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EngC
Context triple: [EngC, hasAbbreviation, EngC]
  • A. EngC chosen
    EngC is the professional regulatory body that sets and maintains standards for engineering practice and registration in the United Kingdom.
  • B. Encs
    Encs is a small town in northeastern Hungary that serves as a local administrative and commercial center within Borsod-Abaúj-Zemplén County.
  • C. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • D. E.N.G.
    E.N.G. is a Canadian television drama series that follows the personal and professional lives of staff at a fictional Toronto television news station.
  • E. E&C
    E&C is the commonly used abbreviation for Enforcement and Compliance, typically referring to functions or departments responsible for ensuring adherence to laws, regulations, and internal policies.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a50c9ec8190b518fdf80808af53 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019564d2c0819095337b6e769d9ff5 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.