Triple

T7774037
Position Surface form Disambiguated ID Type / Status
Subject Etten-Leur E179144 entity
Predicate nearbyMunicipality P4647 FINISHED
Object Moerdijk E360196 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: Moerdijk | Statement: [Etten-Leur, nearbyMunicipality, Moerdijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moerdijk
Context triple: [Etten-Leur, nearbyMunicipality, Moerdijk]
  • A. Moerdijk chosen
    Moerdijk is a municipality and industrial port area in the southern Netherlands, known for its large logistics and chemical industry complexes.
  • B. Hoogeveen
    Hoogeveen is a town and municipality in the northeastern Netherlands known for its historical peat colonies and location in the province of Drenthe.
  • C. Hoorn
    Hoorn is a historic port city in the Netherlands known for its role in the Dutch Golden Age and as a former base of the Dutch East India Company.
  • D. Groningen
    Groningen is a historic province in the northern Netherlands, known for its university city of the same name, flat landscapes, and rich maritime and agricultural heritage.
  • E. Zwolle
    Zwolle is a historic Dutch city in the eastern Netherlands known for its medieval center, cultural heritage, and regional economic importance.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70461b3e48190bf1e4d4f9e6bb08e completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbde8e8264819082a3954072dffd09 completed March 31, 2026, 2:47 p.m.
Created at: March 27, 2026, 4:11 p.m.