Triple

T37799586
Position Surface form Disambiguated ID Type / Status
Subject Bitwa pod Oliwą E942332 entity
Predicate hasPolishShip P201246 FINISHED
Object „Panna Wodna”
„Panna Wodna” was a Polish warship that took part in the 1627 naval Battle of Oliwa against the Swedish fleet.
E2243369 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: „Panna Wodna” | Statement: [Bitwa pod Oliwą, hasPolishShip, „Panna Wodna”]
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: „Panna Wodna”
Triple: [Bitwa pod Oliwą, hasPolishShip, „Panna Wodna”]
Generated description
„Panna Wodna” was a Polish warship that took part in the 1627 naval Battle of Oliwa against the Swedish fleet.

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_69f76ee6f1f4819091e2cf9c9e6aee19 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69ffe0a25e8881909cf351fa88508907 completed May 10, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40f189c424819097bdb83687fab58c completed June 28, 2026, 10:03 a.m.
NEDg Description generation batch_6a40f2644dac81908082669b28ccb410 completed June 28, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_6a40f2c3b1c88190a4ac451bd5ff499c completed June 28, 2026, 10:09 a.m.
Created at: May 3, 2026, 4:19 p.m.