Triple

T30125320
Position Surface form Disambiguated ID Type / Status
Subject Met Police E765678 entity
Predicate hasSpecialUnit P1198 FINISHED
Object Metropolitan Police Air Support Unit
The Metropolitan Police Air Support Unit was the aerial division of London's Metropolitan Police Service, providing helicopter-based surveillance, search, and support for ground operations across the capital.
E1900942 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: Metropolitan Police Air Support Unit | Statement: [Met Police, hasSpecialUnit, Metropolitan Police Air Support Unit]
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: Metropolitan Police Air Support Unit
Triple: [Met Police, hasSpecialUnit, Metropolitan Police Air Support Unit]
Generated description
The Metropolitan Police Air Support Unit was the aerial division of London's Metropolitan Police Service, providing helicopter-based surveillance, search, and support for ground operations across the capital.

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_69f2247716748190ae4f16998f49ddf1 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67def29e4819089a24fac521054f6 completed May 2, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274cac6cfc81909bceead7b6abc24f completed June 8, 2026, 11:13 p.m.
NEDg Description generation batch_6a274d8dff508190b211a92328716611 completed June 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a274e7037d48190869592da30780fc0 completed June 8, 2026, 11:21 p.m.
Created at: April 29, 2026, 7:14 p.m.