Triple

T4221344
Position Surface form Disambiguated ID Type / Status
Subject Panevėžys E94346 entity
Predicate hasTwinTown P919 FINISHED
Object Molėtai
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
E422319 NE FINISHED

How this triple was built (4 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: [Panevėžys, hasTwinTown, Molėtai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Molėtai
Context triple: [Panevėžys, hasTwinTown, Molėtai]
  • A. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • B. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • C. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • D. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • E. Sudeikis
    Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Molėtai
Triple: [Panevėžys, hasTwinTown, Molėtai]
Generated description
Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Molėtai
Target entity description: Molėtai is a small town in northeastern Lithuania known for its surrounding lakes, observatory, and role as a regional tourist and recreational center.
  • A. Kaišiadorys
    Kaišiadorys is a small Lithuanian town known as an important railway junction and administrative center in central Lithuania.
  • B. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • C. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • D. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • E. Sudeikis
    Sudeikis is the surname of American actor, comedian, and writer Jason Sudeikis, known for his work on Saturday Night Live and the series Ted Lasso.
  • F. None of above. chosen

Provenance (5 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34e0e06d881908e3aa8ef1a90c010 completed March 12, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963ffacc8190843b60ea1b224f91 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.