Triple

T6331856
Position Surface form Disambiguated ID Type / Status
Subject Niederbipp E142398 entity
Predicate district P2709 FINISHED
Object District of Thal E536120 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: District of Thal | Statement: [Niederbipp, district, District of Thal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: District of Thal
Context triple: [Niederbipp, district, District of Thal]
  • A. Bäherden District
    Bäherden District is an administrative district in Turkmenistan known for containing the famous Kow-Ata underground lake and its surrounding natural attractions.
  • B. Dalane district
    Dalane district is a traditional region in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small fjords.
  • C. Thal District chosen
    Thal District is an administrative district in the canton of Solothurn in northwestern Switzerland, known for its mix of rural landscapes and small towns such as Balsthal.
  • D. Thekla district
    The Thekla district is a neighborhood in the city of Leipzig, Germany, historically notable for hosting a subcamp of the Buchenwald concentration camp during World War II.
  • E. Homoine District
    Homoine District is an administrative district located in Inhambane Province in southern Mozambique.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0651634b08190b54860ba0a70f5c4 completed March 22, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6041f713c8190b27ba54181049377 completed March 27, 2026, 4:14 a.m.
Created at: March 22, 2026, 4:30 p.m.