Triple

T20604668
Position Surface form Disambiguated ID Type / Status
Subject Portland Inlet E506272 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Laxgaltsʼap NE NERFINISHED

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: Laxgaltsʼap | Statement: [Portland Inlet, hasNearbySettlement, Laxgaltsʼap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laxgaltsʼap
Context triple: [Portland Inlet, hasNearbySettlement, Laxgaltsʼap]
  • A. Dakghar
    Dakghar is a renowned Bengali play by Rabindranath Tagore that poignantly explores themes of freedom, imagination, and the inner life of a sick child.
  • B. Khorol
    Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
  • C. Tsoghamarg
    Tsoghamarg is a rural village located in Armenia's northwestern Shirak Province.
  • D. Laxgalts’ap chosen
    Laxgalts’ap is a Nisga’a village in northwestern British Columbia, Canada, known as one of the key communities within Nisga’a traditional territory.
  • E. Tunuyán
    Tunuyán is a city in Mendoza Province, Argentina, known for its wine-producing region in the Uco Valley at the foothills of the Andes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa233e1881908749d2f29c2946e4 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:41 a.m.