Triple

T24816409
Position Surface form Disambiguated ID Type / Status
Subject Utena County E620933 entity
Predicate containsAdministrativeUnit P3892 FINISHED
Object Ignalina District Municipality
Ignalina District Municipality is a local government area in eastern Lithuania known for its lakes, forests, and proximity to the former Ignalina Nuclear Power Plant.
E1682753 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: Ignalina District Municipality | Statement: [Utena County, containsAdministrativeUnit, Ignalina District Municipality]
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: Ignalina District Municipality
Triple: [Utena County, containsAdministrativeUnit, Ignalina District Municipality]
Generated description
Ignalina District Municipality is a local government area in eastern Lithuania known for its lakes, forests, and proximity to the former Ignalina Nuclear Power Plant.

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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f4229401148190ab5b57da94aea80d completed May 1, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad2beb508190b25d86d8cf35dfbc completed May 22, 2026, 7:23 p.m.
NEDg Description generation batch_6a10ae2f577481909be995d38010dcf7 completed May 22, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_6a10aef10de8819099e12e65f4f9e768 completed May 22, 2026, 7:30 p.m.
Created at: April 18, 2026, 5:02 a.m.