Triple

T26320068
Position Surface form Disambiguated ID Type / Status
Subject Lake Ladoga archipelago E662081 entity
Predicate hasIsland P970 FINISHED
Object Mantsinsaari Island
Mantsinsaari Island is a historically significant island in Lake Ladoga, known for its strategic role in the Winter War between Finland and the Soviet Union.
E1742776 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: Mantsinsaari Island | Statement: [Lake Ladoga archipelago, hasIsland, Mantsinsaari Island]
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: Mantsinsaari Island
Triple: [Lake Ladoga archipelago, hasIsland, Mantsinsaari Island]
Generated description
Mantsinsaari Island is a historically significant island in Lake Ladoga, known for its strategic role in the Winter War between Finland and the Soviet Union.

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_69ee812e73048190aae587f1d51e5a06 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60f2a5a108190879bc2acdc868dad completed May 2, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12091d339c8190b10a2d626aa3148a completed May 23, 2026, 8:07 p.m.
NEDg Description generation batch_6a120d1f0d84819097d7fefdd8efa7fb completed May 23, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_6a120d820f9c819082ba717fe783cf50 completed May 23, 2026, 8:26 p.m.
Created at: April 26, 2026, 10:27 p.m.