Triple

T30795090
Position Surface form Disambiguated ID Type / Status
Subject Maribo E784207 entity
Predicate formerMunicipalSeatOf P23608 FINISHED
Object Maribo Municipality
Maribo Municipality was a former Danish local government area on the island of Lolland, centered around the town of Maribo, until it was merged into a larger municipality in the 2007 administrative reform.
E1952632 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: Maribo Municipality | Statement: [Maribo, formerMunicipalSeatOf, Maribo 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: Maribo Municipality
Triple: [Maribo, formerMunicipalSeatOf, Maribo Municipality]
Generated description
Maribo Municipality was a former Danish local government area on the island of Lolland, centered around the town of Maribo, until it was merged into a larger municipality in the 2007 administrative reform.

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_69f224b2e2a48190b19aa43db9da5b67 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f690110f008190a1577560ed7790ed completed May 3, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_6a296bc029648190b084465df4c3e789 completed June 10, 2026, 1:50 p.m.
NEDg Description generation batch_6a296c5f6f5c8190a7819b3e780466dc completed June 10, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a298ad1166c819089a4f2311b55254a completed June 10, 2026, 4:03 p.m.
Created at: April 29, 2026, 8:42 p.m.