Triple

T17457872
Position Surface form Disambiguated ID Type / Status
Subject Lake Bandak E425076 entity
Predicate locatedInMunicipality P40 FINISHED
Object Tokke 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: Tokke | Statement: [Lake Bandak, locatedInMunicipality, Tokke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokke
Context triple: [Lake Bandak, locatedInMunicipality, Tokke]
  • A. Tokke chosen
    Tokke is a rural municipality in Vestfold og Telemark county, Norway, known for its hydropower production, lakes, and mountainous landscapes.
  • B. Tokkō
    Tokkō was the colloquial name for Japan’s prewar and wartime Special Higher Police, a political police force tasked with suppressing dissent and ideological opposition.
  • C. Toyako
    Toyako is a town in Hokkaido, Japan, known as a gateway to the scenic Lake Tōya area and nearby volcanic and hot spring attractions.
  • D. Tocho
    Tocho is the common nickname for the Tokyo Metropolitan Government Building, a prominent skyscraper complex in Shinjuku that houses Tokyo’s metropolitan administration and offers popular observation decks.
  • E. Takanot
    Takanot are rabbinic enactments or decrees established to address communal needs and clarify or safeguard Jewish law within Rabbinic Judaism.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4514385e48190b97a257bb3d07d2d completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.