Triple

T36877516
Position Surface form Disambiguated ID Type / Status
Subject Battle of Muizenberg E911378 entity
Predicate involved P1063 FINISHED
Object Cape burgher militia
The Cape burgher militia was a locally raised citizen-soldier force of Dutch settlers at the Cape Colony that defended the settlement, notably during conflicts such as the late 18th-century British invasions.
 E2202310 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: Cape burgher militia | Statement: [Battle of Muizenberg, involved, Cape burgher militia]
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: Cape burgher militia
Triple: [Battle of Muizenberg, involved, Cape burgher militia]
Generated description
The Cape burgher militia was a locally raised citizen-soldier force of Dutch settlers at the Cape Colony that defended the settlement, notably during conflicts such as the late 18th-century British invasions.

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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cff7f9a081908c649cd633d5a4bc completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfaeb7bec81908cc5c1a9c4a38006 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3dfe4d2c708190a7462241cc0542cf completed June 26, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3e02e2530c8190ae5f6370ed43138b completed June 26, 2026, 4:41 a.m.
Created at: May 3, 2026, 4:13 p.m.