Triple

T15075421
Position Surface form Disambiguated ID Type / Status
Subject Get Me There E379986 entity
Predicate relatedTo P37 FINISHED
Object Bee Network E52496 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: Bee Network | Statement: [Get Me There, relatedTo, Bee Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bee Network
Context triple: [Get Me There, relatedTo, Bee Network]
  • A. Bee Network chosen
    Bee Network is Greater Manchester’s integrated public transport system brand, unifying buses, trams, cycling and walking under a single, coordinated network.
  • B. the Bee
    The Bee is a former name meaning associated with the genus Musca, historically used to denote a bee-like characteristic or identity.
  • C. Aurora Network
    Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
  • D. Emerald Network
    The Emerald Network is a pan-European ecological network of protected areas aimed at conserving habitats and species of special importance under the Bern Convention.
  • E. BEE
    BEE is the ICAO airline designator used to identify Flybe in international aviation operations.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fb60448190b454386dd762644d completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d2765481908f101bef483ed02f completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.