Triple

T26466778
Position Surface form Disambiguated ID Type / Status
Subject Sipoo E665787 entity
Predicate hasTransportConnection P845 FINISHED
Object Highway 7
Highway 7 is a major Finnish roadway that forms part of the main route between Helsinki and the eastern border near Russia.
E2297437 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: Highway 7 | Statement: [Sipoo, hasTransportConnection, Highway 7]
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: Highway 7
Triple: [Sipoo, hasTransportConnection, Highway 7]
Generated description
Highway 7 is a major Finnish roadway that forms part of the main route between Helsinki and the eastern border near Russia.

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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6129a319881908110a8480090c066 completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a8382cbfe108190ab22462a0e25510e completed Aug. 17, 2026, 9:53 p.m.
NEDg Description generation batch_6a838324dfac8190a088962e6ed258ee completed Aug. 17, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a838349c3a881909a30569b34fa77c0 completed Aug. 17, 2026, 9:55 p.m.
Created at: April 27, 2026, 12:16 a.m.