Triple

T25547625
Position Surface form Disambiguated ID Type / Status
Subject Oudewater E640351 entity
Predicate hasNotableEvent P259 FINISHED
Object Siege of Oudewater (1575)
The Siege of Oudewater (1575) was a brutal Spanish assault during the Eighty Years' War in which the Dutch town of Oudewater was captured and largely destroyed, with many inhabitants massacred.
E1682584 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: Siege of Oudewater (1575) | Statement: [Oudewater, hasNotableEvent, Siege of Oudewater (1575)]
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: Siege of Oudewater (1575)
Triple: [Oudewater, hasNotableEvent, Siege of Oudewater (1575)]
Generated description
The Siege of Oudewater (1575) was a brutal Spanish assault during the Eighty Years' War in which the Dutch town of Oudewater was captured and largely destroyed, with many inhabitants massacred.

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_69e75dc101a881909fd33b02174e9768 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f8c398648190be802367a3f5db2d completed May 2, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10ad9c94c881908f65c080d227d597 completed May 22, 2026, 7:25 p.m.
NEDg Description generation batch_6a10ae9972908190ac6b8a2a0d6eb144 completed May 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a10af45b9048190b1613ef21fa00caf completed May 22, 2026, 7:32 p.m.
Created at: April 21, 2026, 3:35 p.m.