Triple

T19695922
Position Surface form Disambiguated ID Type / Status
Subject N388 E472958 entity
Predicate connectsSettlement P8239 FINISHED
Object Sebaldeburen 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: Sebaldeburen | Statement: [N388, connectsSettlement, Sebaldeburen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sebaldeburen
Context triple: [N388, connectsSettlement, Sebaldeburen]
  • A. Sebaldeburen chosen
    Sebaldeburen is a small village in the province of Groningen in the Netherlands, situated in the rural northwest of the country.
  • B. Urrugne
    Urrugne is a commune in the Pyrénées-Atlantiques department of southwestern France, located in the Basque Country near the Atlantic coast and the Spanish border.
  • C. Seibeld
    Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • D. Belbali
    Belbali is an alternative name for the Korandje language, a minority Zenati Berber language spoken in the oasis of Tabelbala in southwestern Algeria.
  • E. Sarreaus
    Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642147c3c8190a4c788e4bb48fe11 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.