Triple

T9064239
Position Surface form Disambiguated ID Type / Status
Subject Egentliga Finland E217202 entity
Predicate containsMunicipality P852 FINISHED
Object Vehmaa E206571 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: Vehmaa | Statement: [Egentliga Finland, containsMunicipality, Vehmaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vehmaa
Context triple: [Egentliga Finland, containsMunicipality, Vehmaa]
  • A. Vehmaa chosen
    Vehmaa is a small rural municipality in southwestern Finland known for its granite quarries and traditional countryside landscape.
  • B. Vesontio
    Vesontio was the ancient Roman city that later became Besançon, an important urban and military center in the province of Germania Superior.
  • C. Nuijamaa
    Nuijamaa is a village and border crossing point in southeastern Finland, located near the Russian border in the region of South Karelia.
  • D. Vitsa
    Vitsa is a traditional stone-built village in the Zagori region of Epirus, northwestern Greece, known for its preserved architecture and scenic mountain setting.
  • E. Kivimäe
    Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01798a79081909885a8e61bf04dc3 completed April 3, 2026, 7:40 p.m.
Created at: March 30, 2026, 7:11 p.m.