Triple

T13963848
Position Surface form Disambiguated ID Type / Status
Subject Canton of Esch-sur-Alzette E335869 entity
Predicate containsCity P294 FINISHED
Object Schifflange E348347 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: Schifflange | Statement: [Canton of Esch-sur-Alzette, containsCity, Schifflange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schifflange
Context triple: [Canton of Esch-sur-Alzette, containsCity, Schifflange]
  • A. Schifflange chosen
    Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
  • B. Bad Schussenried
    Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
  • C. Schiltach
    Schiltach is a small historic town in Germany’s Black Forest region, known for its well-preserved half-timbered houses and picturesque riverside setting.
  • D. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • E. Waidberg
    Waidberg is a wooded hill and recreational area on the outskirts of Zurich, Switzerland, known for its hiking trails, viewpoints, and proximity to the Hönggerberg.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7e24f08190ba939a8044860033 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde15cbbb0819099b84032d65cfdb0 completed May 8, 2026, 1:13 p.m.
Created at: April 9, 2026, 10:18 p.m.