Triple

T14247967
Position Surface form Disambiguated ID Type / Status
Subject Siglitun E353183 entity
Predicate endonym P1435 FINISHED
Object Siglitun E353183 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: Siglitun | Statement: [Siglitun, endonym, Siglitun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siglitun
Context triple: [Siglitun, endonym, Siglitun]
  • A. Siglitun chosen
    Siglitun is a dialect of the Inuit language traditionally spoken by the Siglit Inuit of the western Canadian Arctic.
  • B. Sigave
    Sigave is one of the three traditional chiefdoms of Wallis and Futuna, located on the island of Futuna in the South Pacific.
  • C. Sigdal
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • D. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • E. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2826621c819093ef6aa68ea1f923 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.