Triple

T9192332
Position Surface form Disambiguated ID Type / Status
Subject Katuic E220619 entity
Predicate hasLanguage P15 FINISHED
Object Bruu E783485 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: Bruu | Statement: [Katuic, hasLanguage, Bruu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruu
Context triple: [Katuic, hasLanguage, Bruu]
  • A. Bru chosen
    Bru is an Austroasiatic language spoken by the Bru people of Laos, Vietnam, and Thailand, belonging to the Katuic branch.
  • B. Boolaroo
    Boolaroo is a suburb in the City of Lake Macquarie in New South Wales, Australia, historically known for its industrial activities and proximity to Cockle Creek and Lake Macquarie.
  • C. Broto
    Broto is a small mountain village in the Spanish Pyrenees that serves as a gateway and service hub for visitors to Ordesa y Monte Perdido National Park.
  • D. Bruhn
    Bruhn is a German-origin surname borne by various notable individuals across fields such as music, sports, and academia.
  • E. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c077b4819086c74e91ee4bd75e completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.