Triple

T14219282
Position Surface form Disambiguated ID Type / Status
Subject Yarmouth, Maine E352442 entity
Predicate locatedOn P40 FINISHED
Object Interstate 295 corridor
The Interstate 295 corridor is a major highway route in Maine that serves as a key north–south transportation link connecting communities such as Yarmouth with the Portland metropolitan area and beyond.
E1840652 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: Interstate 295 corridor | Statement: [Yarmouth, Maine, locatedOn, Interstate 295 corridor]
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: Interstate 295 corridor
Triple: [Yarmouth, Maine, locatedOn, Interstate 295 corridor]
Generated description
The Interstate 295 corridor is a major highway route in Maine that serves as a key north–south transportation link connecting communities such as Yarmouth with the Portland metropolitan area and beyond.

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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24d3ce324c8190878325e9da4b459b completed June 7, 2026, 2:13 a.m.
NEDg Description generation batch_6a24df49b2a481908847e23c6a8124fb completed June 7, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a24dfb84170819092e27531cb82faaa completed June 7, 2026, 3:04 a.m.
Created at: April 10, 2026, 1:06 a.m.