Triple

T21061740
Position Surface form Disambiguated ID Type / Status
Subject Welschenrohr E518864 entity
Predicate partOf P40 FINISHED
Object Thal District 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: Thal District | Statement: [Welschenrohr, partOf, Thal District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thal District
Context triple: [Welschenrohr, partOf, Thal District]
  • A. 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.
  • B. Siha District
    Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
  • C. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • D. Finike District
    Finike District is an administrative district in Antalya Province, Turkey, centered on the coastal town of Finike along the Mediterranean.
  • E. Basman District
    Basman District is a major administrative and residential district within Jordan’s capital region, forming part of the urban area of Amman.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb064a48190b892b78e27e8d0fa completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:38 p.m.