Triple

T10220446
Position Surface form Disambiguated ID Type / Status
Subject Wagenborgen E242560 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Termunten E242564 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: Termunten | Statement: [Wagenborgen, hasNeighbouringSettlement, Termunten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Termunten
Context triple: [Wagenborgen, hasNeighbouringSettlement, Termunten]
  • A. Termunten chosen
    Termunten is a small village in the province of Groningen in the northeastern Netherlands, situated near the Ems estuary and the Wadden Sea.
  • B. Tofa
    Tofa is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
  • C. Orpo
    Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
  • D. El Tanque
    El Tanque is a small rural municipality on the island of Tenerife in Spain’s Canary Islands, known for its agricultural landscape and traditional Canarian character.
  • E. Ramrod
    Ramrod is a 1947 American Western film directed by André De Toth, noted for its noir-influenced style and complex, morally ambiguous characters.
  • 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_69d381ae26c48190985abd0e25ee5d04 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d3aa72b258819097d8d50a714e19dc completed April 6, 2026, 12:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d6f70a23288190a1dbb67324cfd799 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:09 a.m.