Triple

T32106401
Position Surface form Disambiguated ID Type / Status
Subject Traverse Theatre E819994 entity
Predicate movedToLocation P1660 FINISHED
Object Cambridge Street, Edinburgh
Cambridge Street in Edinburgh is a central city street known for housing cultural venues such as the Traverse Theatre near the city’s main theatre district.
 E1992070 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: Cambridge Street, Edinburgh | Statement: [Traverse Theatre, movedToLocation, Cambridge Street, Edinburgh]
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: Cambridge Street, Edinburgh
Triple: [Traverse Theatre, movedToLocation, Cambridge Street, Edinburgh]
Generated description
Cambridge Street in Edinburgh is a central city street known for housing cultural venues such as the Traverse Theatre near the city’s main theatre district.

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_69f34901106881908ea893ad504a08be completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b69c10b481909540be1db9b986f5 completed May 3, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ede030f0c8190a2a5630075998088 completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ededbae108190a6f2c346e0b898ab completed June 14, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_6a2eebcf01208190ad985a56bebf99e3 completed June 14, 2026, 5:58 p.m.
Created at: May 1, 2026, 12:27 a.m.