Triple

T10630284
Position Surface form Disambiguated ID Type / Status
Subject Lom people E250434 entity
Predicate ethnonym P4709 FINISHED
Object Lom E433531 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: Lom | Statement: [Lom people, ethnonym, Lom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lom
Context triple: [Lom people, ethnonym, Lom]
  • A. Lom chosen
    Lom is a mountainous municipality in Innlandet county, Norway, known for its historic stave church and as a gateway to the Jotunheimen National Park.
  • B. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • C. Lombe
    Lombe is a city located in the Indonesian province of Southeast Sulawesi.
  • D. Loinang
    Loinang is an alternative name for the Saluan language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • E. Lomme
    Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:01 p.m.