Triple

T26570389
Position Surface form Disambiguated ID Type / Status
Subject Chelsea and Westminster Hospital E666806 entity
Predicate replaced P101 FINISHED
Object West London Hospital
West London Hospital was a former general hospital in Hammersmith, London, that served the local community for over a century before its services were transferred to the modern Chelsea and Westminster Hospital.
 E1767231 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: West London Hospital | Statement: [Chelsea and Westminster Hospital, replaced, West London Hospital]
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: West London Hospital
Triple: [Chelsea and Westminster Hospital, replaced, West London Hospital]
Generated description
West London Hospital was a former general hospital in Hammersmith, London, that served the local community for over a century before its services were transferred to the modern Chelsea and Westminster Hospital.

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_69ee9cfa21c081909e4e36e087debfc6 completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f614a2cb78819088724e7c3a6e77ba completed May 2, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129c7e478081908b88b481d4227752 completed May 24, 2026, 6:36 a.m.
NEDg Description generation batch_6a129dc563e081909b6e07e29aad6ddb completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e62fd248190b264904e77be6e5e completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 1:57 a.m.