Triple

T15529203
Position Surface form Disambiguated ID Type / Status
Subject Luster Municipality E370165 entity
Predicate administrativeCentre P1474 FINISHED
Object Gaupne E1156911 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: Gaupne | Statement: [Luster Municipality, administrativeCentre, Gaupne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaupne
Context triple: [Luster Municipality, administrativeCentre, Gaupne]
  • A. Gaupne chosen
    Gaupne is a village in western Norway that serves as an administrative and service center for the surrounding Lustrafjord area and nearby attractions like Jostedalsbreen National Park.
  • B. Phakding
    Phakding is a small village in Nepal’s Khumbu region that serves as an early overnight stop for trekkers heading toward Everest Base Camp.
  • C. Ghandruk
    Ghandruk is a picturesque Gurung village in Nepal’s Annapurna region, known for its traditional culture, mountain views, and popularity as a trekking destination.
  • D. Marpha
    Marpha is a picturesque Thakali village in Nepal’s Mustang region, known for its traditional stone houses, apple orchards, and role as a popular stop on the Annapurna Circuit trekking route.
  • E. Parbatipur
    Parbatipur is a key railway junction town in northern Bangladesh that serves as an important transportation and commercial hub for the surrounding region.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.