Triple

T3150894
Position Surface form Disambiguated ID Type / Status
Subject Orono, Maine E65873 entity
Predicate locatedOn P40 FINISHED
Object Marsh Island
Marsh Island is a river island in the Penobscot River in Maine that hosts the town of Orono and the main campus of the University of Maine.
 E526413 NE FINISHED

How this triple was built (4 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: Marsh Island | Statement: [Orono, Maine, locatedOn, Marsh Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marsh Island
Context triple: [Orono, Maine, locatedOn, Marsh Island]
  • A. Marsh Island
    Marsh Island is a small, marshy island in Seattle’s Lake Washington, known for its wetlands and bird habitat along the Arboretum Waterfront Trail.
  • B. Middle Island
    Middle Island is one of the small, remote islands in the Tristan da Cunha archipelago in the South Atlantic Ocean.
  • C. Middle Island
    Middle Island is a small Canadian island in Lake Erie known as the southernmost point of land in Canada.
  • D. Middle Island
    Middle Island is a small island located within Sitka Sound off the coast of Sitka, Alaska, known for its forested landscape and marine wildlife.
  • E. Muggs Island
    Muggs Island is a small, wooded island within Toronto’s offshore island chain, known for its natural setting and limited development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Marsh Island
Triple: [Orono, Maine, locatedOn, Marsh Island]
Generated description
Marsh Island is a river island in the Penobscot River in Maine that hosts the town of Orono and the main campus of the University of Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marsh Island
Target entity description: Marsh Island is a river island in the Penobscot River in Maine that hosts the town of Orono and the main campus of the University of Maine.
  • A. Marsh Island
    Marsh Island is a small, marshy island in Seattle’s Lake Washington, known for its wetlands and bird habitat along the Arboretum Waterfront Trail.
  • B. Middle Island
    Middle Island is a small Canadian island in Lake Erie known as the southernmost point of land in Canada.
  • C. Middle Island
    Middle Island is a small island located within Sitka Sound off the coast of Sitka, Alaska, known for its forested landscape and marine wildlife.
  • D. Middle Island
    Middle Island is one of the small, remote islands in the Tristan da Cunha archipelago in the South Atlantic Ocean.
  • E. Muggs Island
    Muggs Island is a small, wooded island within Toronto’s offshore island chain, known for its natural setting and limited development.
  • F. None of above. chosen

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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c145248190843ff3b1701074a1 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfbd56f4c081909ebc19bfc91aa5d2 completed March 22, 2026, 9:58 a.m.
NEDg Description generation batch_69bfbdcab6d88190aa24838b20743e6e completed March 22, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69bfbe735874819083abb628f3d169b9 completed March 22, 2026, 10:03 a.m.
Created at: March 8, 2026, 3:05 p.m.