Triple

T11808662
Position Surface form Disambiguated ID Type / Status
Subject Belgium–Luxembourg border E280812 entity
Predicate hasBorderTown P847 FINISHED
Object Martelange E789228 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: Martelange | Statement: [Belgium–Luxembourg border, hasBorderTown, Martelange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martelange
Context triple: [Belgium–Luxembourg border, hasBorderTown, Martelange]
  • A. Martelange chosen
    Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
  • B. Morlanwelz
    Morlanwelz is a municipality in the Hainaut province of Wallonia, Belgium, known as part of the industrial region of the Charleroi basin.
  • C. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Maringe
    Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
  • E. Neuville
    Neuville is a small riverside municipality in the Capitale-Nationale region of Quebec, Canada, known for its historic charm and agricultural landscape along the St. Lawrence River.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c93a1881909b428bf3ed55bb57 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131726ab08190ae777bee3ac6df43 completed April 28, 2026, 10:15 p.m.
Created at: April 8, 2026, 9:42 p.m.