Triple

T14469403
Position Surface form Disambiguated ID Type / Status
Subject Pasila, Helsinki E358797 entity
Predicate hasPart P35 FINISHED
Object Itä-Pasila E995942 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: Itä-Pasila | Statement: [Pasila, Helsinki, hasPart, Itä-Pasila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itä-Pasila
Context triple: [Pasila, Helsinki, hasPart, Itä-Pasila]
  • A. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • B. Kangasala
    Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
  • C. Viikki chosen
    Viikki is a district in Helsinki, Finland, known for its university campus, research facilities, and extensive green and nature conservation areas.
  • D. Penteli
    Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
  • E. Vainikkala
    Vainikkala is a small Finnish border village and railway station that serves as a key rail crossing point between Finland and Russia on the route between Helsinki and Saint Petersburg.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ae5508190aea1cab0b059f804 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.