Triple

T28873714
Position Surface form Disambiguated ID Type / Status
Subject Talbot Square, Blackpool E732205 entity
Predicate nearbyStreet P8235 FINISHED
Object Abingdon Street, Blackpool
Abingdon Street, Blackpool is a central street in the seaside town of Blackpool, England, known for its proximity to key civic and commercial areas near Talbot Square.
E1840353 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: Abingdon Street, Blackpool | Statement: [Talbot Square, Blackpool, nearbyStreet, Abingdon Street, Blackpool]
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: Abingdon Street, Blackpool
Triple: [Talbot Square, Blackpool, nearbyStreet, Abingdon Street, Blackpool]
Generated description
Abingdon Street, Blackpool is a central street in the seaside town of Blackpool, England, known for its proximity to key civic and commercial areas near Talbot Square.

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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65a4842588190835ef304e918d03a completed May 2, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3fabe5c819088a22bd89d3a0c0c completed June 7, 2026, 2:14 a.m.
NEDg Description generation batch_6a24d9370ef48190845aa485c0356b6f completed June 7, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_6a24dd68154481909a11f3fa37288d2c completed June 7, 2026, 2:54 a.m.
Created at: April 28, 2026, 7:35 a.m.