Triple

T24292986
Position Surface form Disambiguated ID Type / Status
Subject Centre Street, Milton, Massachusetts E605873 entity
Predicate partOf P40 FINISHED
Object Milton, Massachusetts street network
The Milton, Massachusetts street network is the interconnected system of roads and streets that serves as the primary framework for transportation and access throughout the town.
E1628890 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: Milton, Massachusetts street network | Statement: [Centre Street, Milton, Massachusetts, partOf, Milton, Massachusetts street network]
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: Milton, Massachusetts street network
Triple: [Centre Street, Milton, Massachusetts, partOf, Milton, Massachusetts street network]
Generated description
The Milton, Massachusetts street network is the interconnected system of roads and streets that serves as the primary framework for transportation and access throughout the town.

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_69e29549335881909cbf27adcaba1cf0 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f29157840c81908da157e93ad21527 completed April 29, 2026, 11:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9ce03248190a856a028c4eca537 completed May 22, 2026, 3:13 a.m.
NEDg Description generation batch_6a0fcdd6bedc8190aa5d329a4dc08de7 completed May 22, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0fce7300948190851626ea09b3fe7e completed May 22, 2026, 3:33 a.m.
Created at: April 18, 2026, 12:09 a.m.