Triple

T32402927
Position Surface form Disambiguated ID Type / Status
Subject High Street, Saint Peter Port E827999 entity
Predicate near P350 FINISHED
Object Market Square, Saint Peter Port
Market Square in Saint Peter Port is a central public plaza and focal point of the town’s commercial and social life on the island of Guernsey.
 E827999 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: Market Square, Saint Peter Port | Statement: [High Street, Saint Peter Port, near, Market Square, Saint Peter Port]
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: Market Square, Saint Peter Port
Triple: [High Street, Saint Peter Port, near, Market Square, Saint Peter Port]
Generated description
Market Square in Saint Peter Port is a central public plaza and focal point of the town’s commercial and social life on the island of Guernsey.

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_69f34919342c8190a4c3bf35a90d4e58 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c21bb0d081909644ca365aacfdfa completed May 3, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f15454c8190be0873792226833a completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a3450881fb881909e29256da7732066 completed June 18, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a345466f7bc8190a3b4b5ef7d19cbee completed June 18, 2026, 8:26 p.m.
Created at: May 1, 2026, 12:53 a.m.