Triple

T25057706
Position Surface form Disambiguated ID Type / Status
Subject Blue Fish River E627565 entity
Predicate crossedBy P416 FINISHED
Object Blue Fish River Bridge
The Blue Fish River Bridge is a roadway bridge in Duxbury, Massachusetts, carrying traffic over the tidal Blue Fish River near the town’s historic shipbuilding area.
 E1812717 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: Blue Fish River Bridge | Statement: [Blue Fish River, crossedBy, Blue Fish River Bridge]
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: Blue Fish River Bridge
Triple: [Blue Fish River, crossedBy, Blue Fish River Bridge]
Generated description
The Blue Fish River Bridge is a roadway bridge in Duxbury, Massachusetts, carrying traffic over the tidal Blue Fish River near the town’s historic shipbuilding area.

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_69e2ff2c45f48190afa28369f1df6786 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f459958c908190a377bb3cf34b1b28 completed May 1, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a16277ece2481909ab1c9deac3804d8 completed May 26, 2026, 11:06 p.m.
NEDg Description generation batch_6a16287ec0dc81909fd9f5311affa856 completed May 26, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_6a162912532481909c7d97f033cfe22a completed May 26, 2026, 11:13 p.m.
Created at: April 18, 2026, 6:09 a.m.