Triple

T38152392
Position Surface form Disambiguated ID Type / Status
Subject 74th (Yeomanry) Division E952789 entity
Predicate composedOf P402 FINISHED
Object 230th Brigade
The 230th Brigade was an infantry formation of the British Army that served during the First World War, notably as part of the 74th (Yeomanry) Division on the Western Front.
E2258801 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: 230th Brigade | Statement: [74th (Yeomanry) Division, composedOf, 230th Brigade]
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: 230th Brigade
Triple: [74th (Yeomanry) Division, composedOf, 230th Brigade]
Generated description
The 230th Brigade was an infantry formation of the British Army that served during the First World War, notably as part of the 74th (Yeomanry) Division on the Western Front.

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_69f76f0a67f4819080c492f61d688fcc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc46304df88190812a0874aba8683d completed May 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a417b28ed58819094b603d6f657d4b7 completed June 28, 2026, 7:51 p.m.
NEDg Description generation batch_6a417bbc82a881909b53b621a1d2c079 completed June 28, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a417c16ebd48190bb8d62e0325bfa4a completed June 28, 2026, 7:55 p.m.
Created at: May 3, 2026, 4:21 p.m.