Triple

T26208807
Position Surface form Disambiguated ID Type / Status
Subject Rye House railway station E655427 entity
Predicate locatedNear P294 FINISHED
Object Rye House Gatehouse
Rye House Gatehouse is a historic fortified gatehouse in Hertfordshire, England, best known for its association with the 1683 Rye House Plot to assassinate King Charles II.
E1714410 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: Rye House Gatehouse | Statement: [Rye House railway station, locatedNear, Rye House Gatehouse]
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: Rye House Gatehouse
Triple: [Rye House railway station, locatedNear, Rye House Gatehouse]
Generated description
Rye House Gatehouse is a historic fortified gatehouse in Hertfordshire, England, best known for its association with the 1683 Rye House Plot to assassinate King Charles II.

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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60d154a208190b13f6597d6a17143 completed May 2, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118589a968819083a0155f6cd682e2 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a1186b5863c81909864e1a749756793 completed May 23, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a11872d97908190980c44ddb6820d50 completed May 23, 2026, 10:53 a.m.
Created at: April 26, 2026, 8:51 p.m.