Triple

T25083594
Position Surface form Disambiguated ID Type / Status
Subject Queset House E628247 entity
Predicate locatedOnStreet P959 FINISHED
Object Main Street, Easton, Massachusetts
Main Street in Easton, Massachusetts is a primary thoroughfare in the town, notable for its historic character and landmarks such as the Queset House.
 E1663993 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: Main Street, Easton, Massachusetts | Statement: [Queset House, locatedOnStreet, Main Street, Easton, Massachusetts]
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: Main Street, Easton, Massachusetts
Triple: [Queset House, locatedOnStreet, Main Street, Easton, Massachusetts]
Generated description
Main Street in Easton, Massachusetts is a primary thoroughfare in the town, notable for its historic character and landmarks such as the Queset House.

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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f461e18c288190a0d06a7756fed024 completed May 1, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048e3bdf881909c57a4447ae58977 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104c591a848190b0b2277baf8088e3 completed May 22, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a104cc33b248190a733b46986c28a6a completed May 22, 2026, 12:32 p.m.
Created at: April 18, 2026, 6:22 a.m.