Triple

T36065064
Position Surface form Disambiguated ID Type / Status
Subject Matinicus Island E1043200 entity
Predicate partOf P40 FINISHED
Object Matinicus Isle Plantation
Matinicus Isle Plantation is a remote island community and plantation in Knox County, Maine, known as one of the state’s most isolated year-round inhabited islands.
E2167597 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: Matinicus Isle Plantation | Statement: [Matinicus Island, partOf, Matinicus Isle Plantation]
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: Matinicus Isle Plantation
Triple: [Matinicus Island, partOf, Matinicus Isle Plantation]
Generated description
Matinicus Isle Plantation is a remote island community and plantation in Knox County, Maine, known as one of the state’s most isolated year-round inhabited islands.

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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2150c3c8190a972c583ce62d78b completed May 3, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cbab52648190803a1e6414443af7 completed June 22, 2026, 5:44 a.m.
NEDg Description generation batch_6a38cc219ad4819081fec325b458005f completed June 22, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a38ccf8e8b48190ac2f931ffa6ff800 completed June 22, 2026, 5:49 a.m.
Created at: May 3, 2026, 4:08 p.m.