Triple

T3470154
Position Surface form Disambiguated ID Type / Status
Subject Oldenburg E73235 entity
Predicate hasTwinTown P919 FINISHED
Object Hämeenlinna E52339 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: Hämeenlinna | Statement: [Oldenburg, hasTwinTown, Hämeenlinna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hämeenlinna
Context triple: [Oldenburg, hasTwinTown, Hämeenlinna]
  • A. Hämeenlinna chosen
    Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
  • B. Imatra
    Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
  • C. Lahti
    Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
  • D. Lappeenranta
    Lappeenranta is a city in southeastern Finland near the Russian border, known for its lakeside location on Saimaa and its role as a regional commercial and educational center.
  • E. Lempäälä
    Lempäälä is a municipality in the Pirkanmaa region of southern Finland, known for its lakeside landscapes and proximity to the city of Tampere.
  • 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_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb392f6481908b6ad0457b8cf421 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db5d2fcc8190818b79d873cebcf6 completed March 14, 2026, 10:04 p.m.
Created at: March 8, 2026, 3:17 p.m.