Triple

T27168705
Position Surface form Disambiguated ID Type / Status
Subject Alexandra Hospital, Redditch E682846 entity
Predicate serves P98 FINISHED
Object North Worcestershire
North Worcestershire is a largely rural and semi-urban area in the north of the English county of Worcestershire, encompassing towns such as Redditch and Bromsgrove.
E1760576 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: North Worcestershire | Statement: [Alexandra Hospital, Redditch, serves, North Worcestershire]
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: North Worcestershire
Triple: [Alexandra Hospital, Redditch, serves, North Worcestershire]
Generated description
North Worcestershire is a largely rural and semi-urban area in the north of the English county of Worcestershire, encompassing towns such as Redditch and Bromsgrove.

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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f625451be88190b9b2c24b3d50e09c completed May 2, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12538724cc8190866b38a30f292d6a completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12555a3498819093228f5ef37c748d completed May 24, 2026, 1:33 a.m.
NED2 Entity disambiguation (via description) batch_6a1255d7ba40819089319645efec0bd4 completed May 24, 2026, 1:35 a.m.
Created at: April 27, 2026, 9:22 a.m.