Triple

T21623584
Position Surface form Disambiguated ID Type / Status
Subject Reynolds Street commercial area E533638 entity
Predicate locatedOn P40 FINISHED
Object Reynolds Street
Reynolds Street is a street known for its commercial area featuring various shops, services, and local businesses.
 E2032540 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: Reynolds Street | Statement: [Reynolds Street commercial area, locatedOn, Reynolds 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: Reynolds Street
Triple: [Reynolds Street commercial area, locatedOn, Reynolds Street]
Generated description
Reynolds Street is a street known for its commercial area featuring various shops, services, and local businesses.

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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef521125f481909ccfc95d884976e2 completed April 27, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34da960dac81909237caf8379f94d8 completed June 19, 2026, 5:58 a.m.
NEDg Description generation batch_6a34db8b54248190bbae5ab7444e5a08 completed June 19, 2026, 6:02 a.m.
NED2 Entity disambiguation (via description) batch_6a34dc8ff0b48190a6a9561683f13215 completed June 19, 2026, 6:07 a.m.
Created at: April 16, 2026, 6:34 p.m.