Triple

T9183152
Position Surface form Disambiguated ID Type / Status
Subject Rozenburg E220384 entity
Predicate adjacentTo P224 FINISHED
Object Botlek industrial area E575225 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: Botlek industrial area | Statement: [Rozenburg, adjacentTo, Botlek industrial area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botlek industrial area
Context triple: [Rozenburg, adjacentTo, Botlek industrial area]
  • A. Sikka industrial area
    Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
  • B. Švermov industrial area
    Švermov industrial area is a major industrial zone in the city of Kladno in the Czech Republic, historically associated with heavy industry and manufacturing.
  • C. Gäu industrial zone
    The Gäu industrial zone is a major commercial and manufacturing area in or near Oensingen, Switzerland, hosting a concentration of industrial and logistics businesses.
  • D. Focal Point industrial area
    Focal Point industrial area is a major industrial hub in Ludhiana, Punjab, known for its concentration of manufacturing and engineering units.
  • E. Botlek area chosen
    The Botlek area is an industrial and port district within the Port of Rotterdam, known for its large petrochemical complexes and heavy maritime logistics activities.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc2553e548190898434aeda517407 completed April 1, 2026, 6:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1474a08190aa3e3e90326a20d1 completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.