Triple

T5190056
Position Surface form Disambiguated ID Type / Status
Subject Nõmme E117129 entity
Predicate hasSubdivision P747 FINISHED
Object Liiva E490025 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: Liiva | Statement: [Nõmme, hasSubdivision, Liiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liiva
Context triple: [Nõmme, hasSubdivision, Liiva]
  • A. Lisnaskea
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • B. Rolava
    Rolava is a river in the Czech Republic that flows through the Ore Mountains region before joining the Ohře River.
  • C. Laihia
    Laihia is a rural municipality in western Finland known for its strong agricultural traditions and reputation for frugality in local folklore.
  • D. Pikaliiva chosen
    Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
  • E. Ritva
    Ritva, also known as Rabbi Yom Tov ben Avraham Ishbili, was a prominent 13th–14th century Spanish Talmudic commentator and halakhic authority whose works are central in traditional Jewish scholarship.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79ebbfd081909a19b903c227fc1f completed March 20, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08dfe648190a98b5a61f857d593 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.