Triple

T20689088
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway line 57 E508500 entity
Predicate connects P390 FINISHED
Object Zele 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: Zele | Statement: [Belgian railway line 57, connects, Zele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zele
Context triple: [Belgian railway line 57, connects, Zele]
  • A. Zele chosen
    Zele is a municipality in the Belgian province of East Flanders, known for its residential character and local industries.
  • B. Elezen
    Elezen are a tall, long-eared elven-like race in Final Fantasy XIV known for their grace, proud traditions, and prominent role in the realm of Eorzea.
  • C. Zanaki
    Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
  • D. Zemba
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • E. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10b7b808190bdb8b08e53168fb8 completed April 21, 2026, 12:12 a.m.
Created at: April 16, 2026, 11:56 a.m.