Triple

T32630221
Position Surface form Disambiguated ID Type / Status
Subject Buntingford railway station E834183 entity
Predicate locatedOn P40 FINISHED
Object Buntingford High Street area
Buntingford High Street area is the central commercial and historic core of the town of Buntingford in Hertfordshire, England, characterized by its traditional shops, services, and period architecture.
 E2015510 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: Buntingford High Street area | Statement: [Buntingford railway station, locatedOn, Buntingford High Street area]
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: Buntingford High Street area
Triple: [Buntingford railway station, locatedOn, Buntingford High Street area]
Generated description
Buntingford High Street area is the central commercial and historic core of the town of Buntingford in Hertfordshire, England, characterized by its traditional shops, services, and period architecture.

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_69f3492dc2308190a88c6e30a3f3f576 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c71cc3348190a002fac6dcc708da completed May 3, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a348627f4e08190b66abffe9ba7c4f8 completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486c2afa881909c2af63e7d642668 completed June 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a34895926748190b5a5b5e82f4944fc completed June 19, 2026, 12:12 a.m.
Created at: May 1, 2026, 1:07 a.m.