Triple

T26652164
Position Surface form Disambiguated ID Type / Status
Subject Central Park, Newton Heath, Manchester E669091 entity
Predicate transportServedBy P1298 FINISHED
Object Central Park Metrolink stop
Central Park Metrolink stop is a tram station on Greater Manchester’s Metrolink light rail network serving the Central Park area and its surrounding business and residential districts.
E1735429 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: Central Park Metrolink stop | Statement: [Central Park, Newton Heath, Manchester, transportServedBy, Central Park Metrolink stop]
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: Central Park Metrolink stop
Triple: [Central Park, Newton Heath, Manchester, transportServedBy, Central Park Metrolink stop]
Generated description
Central Park Metrolink stop is a tram station on Greater Manchester’s Metrolink light rail network serving the Central Park area and its surrounding business and residential districts.

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_69ee9d00eb5481908d6c6d0ada2f0c9a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6167b8c7c81909592d7f19083d325 completed May 2, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec46f0b08190930e1e98a0de592d completed May 23, 2026, 6:04 p.m.
NEDg Description generation batch_6a11ee4a816c8190a69ca08a00819df3 completed May 23, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_6a11eeba70b48190be953d4322f84953 completed May 23, 2026, 6:15 p.m.
Created at: April 27, 2026, 2:33 a.m.