Triple

T6370857
Position Surface form Disambiguated ID Type / Status
Subject LambdaProlog E143339 entity
Predicate influenced P9 FINISHED
Object Abella E514254 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: Abella | Statement: [LambdaProlog, influenced, Abella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abella
Context triple: [LambdaProlog, influenced, Abella]
  • A. Abella
    Abella was an ancient town in Campania, Italy, known from Roman-era inscriptions and archaeological remains.
  • B. Abella chosen
    Abella is an interactive theorem prover and proof assistant designed for reasoning about relational specifications, particularly those involving higher-order abstract syntax and inductive and coinductive definitions.
  • C. Apphia
    Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
  • D. Barellan
    Barellan is a small rural town in the Riverina region of New South Wales, Australia, known for its grain farming and association with tennis champion Evonne Goolagong-Cawley.
  • E. Alberoni
    Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
  • 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068277f6c81908e6a55e006f0c229 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8bce3481909b0bf7533b330d1f completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.