Triple

T17431636
Position Surface form Disambiguated ID Type / Status
Subject Nulvi E423884 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Laerru 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: Laerru | Statement: [Nulvi, neighboringMunicipality, Laerru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laerru
Context triple: [Nulvi, neighboringMunicipality, Laerru]
  • A. Laerru chosen
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Daleelva
    Daleelva is a river in Vaksdal Municipality in western Norway, known for flowing through steep valleys and contributing to the region’s hydropower and natural landscape.
  • D. Selaaru
    Selaaru is an Austronesian language spoken on Selaru Island in Indonesia’s Tanimbar Islands.
  • E. Lierna
    Lierna is a small lakeside village on the eastern shore of Lake Como in northern Italy, known for its scenic views and historic stone hamlets.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490072b48190a39b1ac7bb5eb035 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.