Triple

T30918364
Position Surface form Disambiguated ID Type / Status
Subject Elbląg Canal E787648 entity
Predicate connects P390 FINISHED
Object Elbląg E330705 NE FINISHED

How this triple was built (1 step)

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: Elbląg | Statement: [Elbląg Canal, connects, Elbląg]

Provenance (3 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_69f224bfaca88190b9d0dfcc86297fe9 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f692b3c17881908e10d82b78be94a8 completed May 3, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35812eb9048190851cbe7e71ad5623 completed June 19, 2026, 5:49 p.m.
Created at: April 29, 2026, 8:51 p.m.