Triple

T25543246
Position Surface form Disambiguated ID Type / Status
Subject Epping to Ongar branch E640226 entity
Predicate hasStation P35 FINISHED
Object North Weald station
North Weald station is a former London Underground station in Essex that served the Epping to Ongar branch and is now part of the heritage Epping Ongar Railway.
E1733896 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 Weald station | Statement: [Epping to Ongar branch, hasStation, North Weald station]
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 Weald station
Triple: [Epping to Ongar branch, hasStation, North Weald station]
Generated description
North Weald station is a former London Underground station in Essex that served the Epping to Ongar branch and is now part of the heritage Epping Ongar Railway.

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_69e75dbfff7081909b0aa779d48321d2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f895e458819081cf031b70d20e56 completed May 2, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ebed41b48190a96cd90a38175e06 completed May 23, 2026, 6:03 p.m.
NEDg Description generation batch_6a11ecf53a20819083a0f23be7d859a4 completed May 23, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a11edac59388190bfa4e3e288b7932e completed May 23, 2026, 6:10 p.m.
Created at: April 21, 2026, 3:27 p.m.