Triple

T12019422
Position Surface form Disambiguated ID Type / Status
Subject Brussels–Charleroi Canal E286108 entity
Predicate passesThrough P225 FINISHED
Object Halle E547478 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: Halle | Statement: [Brussels–Charleroi Canal, passesThrough, Halle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halle
Context triple: [Brussels–Charleroi Canal, passesThrough, Halle]
  • A. Halle
    Halle is a surname most notably borne by Morris Halle, a prominent linguist and phonologist.
  • B. Halle
    Halle is a feminine given name used in various cultures, notably borne by American actress and singer Halle Bailey.
  • C. Halle chosen
    Halle is a historic city in the Belgian province of Flemish Brabant, known for its medieval architecture and the Basilica of Saint Martin, a notable pilgrimage site.
  • D. Halle (Saale)
    Halle (Saale) is a major city in the German state of Saxony-Anhalt, known as an important economic, cultural, and educational center, including being home to the Martin Luther University of Halle-Wittenberg.
  • E. Blentheim
    Blentheim is a location in New Zealand that serves as one of the seats of the High Court of New Zealand.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903dabf2c819084dcaa05ae0a6018 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b53cd08819084a9335449844f12 completed May 1, 2026, 11:15 a.m.
Created at: April 8, 2026, 9:47 p.m.