Triple

T22154038
Position Surface form Disambiguated ID Type / Status
Subject Montferland E547486 entity
Predicate containsSettlement P847 FINISHED
Object Didam 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: Didam | Statement: [Montferland, containsSettlement, Didam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Didam
Context triple: [Montferland, containsSettlement, Didam]
  • A. Didam chosen
    Didam is a town in the Dutch province of Gelderland that formerly existed as an independent municipality before being merged into the municipality of Montferland.
  • B. Das Dhaimade
    Das Dhaimade is an editor known for working on the film "Mamta."
  • C. Dimalik
    Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
  • D. Sadami
    Sadami was the personal name of Emperor Uda, a 9th-century Japanese emperor of the Heian period.
  • E. Sadali
    Sadali is a small Italian town in the central-eastern part of Sardinia, known for its karst landscapes, waterfalls, and traditional pastoral culture.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.