Triple

T20644446
Position Surface form Disambiguated ID Type / Status
Subject Esslingen district E507315 entity
Predicate contains P35 FINISHED
Object Weilheim an der Teck 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: Weilheim an der Teck | Statement: [Esslingen district, contains, Weilheim an der Teck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weilheim an der Teck
Context triple: [Esslingen district, contains, Weilheim an der Teck]
  • A. Weilheim an der Teck chosen
    Weilheim an der Teck is a small historic town in the German state of Baden-Württemberg, located at the foot of the Swabian Alps in southern Germany.
  • B. Odelzhausen
    Odelzhausen is a municipality in Bavaria, Germany, known for its historic castle and location along the Autobahn between Munich and Augsburg.
  • C. Merzhausen
    Merzhausen is a village-level district that forms one of the subdivisions of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Jagstzell
    Jagstzell is a small municipality in the eastern Baden-Württemberg region of Germany, characterized by its rural setting and location within the Ostalb district.
  • E. Pfeffenhausen
    Pfeffenhausen is a market town in Lower Bavaria, Germany, known for its rural character and location within the Landshut district.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1d0be481909e090193dcfd9cf6 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.