Triple

T14237894
Position Surface form Disambiguated ID Type / Status
Subject Borås E352932 entity
Predicate hasTwinTown P919 FINISHED
Object Molėtai E422319 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: Molėtai | Statement: [Borås, hasTwinTown, Molėtai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molėtai
Context triple: [Borås, hasTwinTown, Molėtai]
  • A. Molėtai chosen
    Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
  • B. Ruklys
    Ruklys was a son of King Mindaugas of Lithuania, known primarily from medieval historical records of the Lithuanian royal family.
  • C. Rupšienė
    Rupšienė is a Lithuanian surname most notably borne by Angelė Rupšienė, a prominent former Lithuanian and Soviet basketball player.
  • D. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • E. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de62422e28819089e7115052a28c96 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281f80548190ad489c418f27e82c completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:08 a.m.