Triple

T7411673
Position Surface form Disambiguated ID Type / Status
Subject Verden (Aller) E171018 entity
Predicate district P2709 FINISHED
Object Verden (district) E655756 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: Verden (district) | Statement: [Verden (Aller), district, Verden (district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verden (district)
Context triple: [Verden (Aller), district, Verden (district)]
  • A. Verden district chosen
    Verden district is a rural administrative district in the state of Lower Saxony in northern Germany, known for its horse breeding traditions and location along the Aller and Weser rivers.
  • B. Bäherden District
    Bäherden District is an administrative district in Turkmenistan known for containing the famous Kow-Ata underground lake and its surrounding natural attractions.
  • C. Hallunda district
    Hallunda district is a suburban residential area in Botkyrka Municipality, south of central Stockholm, Sweden.
  • D. Dalane district
    Dalane district is a traditional region in southwestern Norway known for its rugged coastal landscape, rocky terrain, and small fjords.
  • E. Romerike district
    Romerike district is a traditional region in Viken county in southeastern Norway, known for its fertile agricultural land and proximity to Oslo and Oslo Airport.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2a027148190bdb6a7940389e377 completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c811244df081909b63e085d2272cd2 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:11 p.m.