Triple

T17052988
Position Surface form Disambiguated ID Type / Status
Subject Dinkelland E413747 entity
Predicate containsSettlement P847 FINISHED
Object Hertme E1248497 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: Hertme | Statement: [Dinkelland, containsSettlement, Hertme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hertme
Context triple: [Dinkelland, containsSettlement, Hertme]
  • A. Hertme chosen
    Hertme is a small village in the Dutch province of Overijssel, known for its rural character and cultural events such as open-air theater and festivals.
  • B. Hertevin
    Hertevin is a modern Eastern Aramaic dialect traditionally spoken by a small Christian community from the village of Hertevin in southeastern Turkey.
  • C. Heerdt
    Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
  • D. Herent
    Herent is a municipality in the Flemish Brabant province of Belgium, located just northwest of the city of Leuven.
  • E. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed60d3481909c8144bcb01316a1 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.