Triple

T7466049
Position Surface form Disambiguated ID Type / Status
Subject Cambridge city centre street network E176375 entity
Predicate includes P1393 FINISHED
Object Trinity Street
Trinity Street is a historic street in the centre of Cambridge, England, known for its proximity to several University of Cambridge colleges and notable academic buildings.
E2294796 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: Trinity Street | Statement: [Cambridge city centre street network, includes, Trinity Street]
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: Trinity Street
Triple: [Cambridge city centre street network, includes, Trinity Street]
Generated description
Trinity Street is a historic street in the centre of Cambridge, England, known for its proximity to several University of Cambridge colleges and notable academic buildings.

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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f412908190ac910ecae682d6f6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7c1ddfe90881909afd1403d78096ab completed Aug. 12, 2026, 7:16 a.m.
NEDg Description generation batch_6a7c1e139f2081909d252f4055a7d3f5 completed Aug. 12, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a7c1ed117208190ac5352f8fb91fd92 completed Aug. 12, 2026, 7:20 a.m.
Created at: March 27, 2026, 3:40 p.m.