Triple

T30024051
Position Surface form Disambiguated ID Type / Status
Subject Muscongus Bay E762830 entity
Predicate hasIsland P970 FINISHED
Object Benner Island
Benner Island is a small coastal island located within Muscongus Bay on the mid-coast of Maine, known for its scenic maritime setting and proximity to traditional New England fishing communities.
E2272189 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: Benner Island | Statement: [Muscongus Bay, hasIsland, Benner Island]
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: Benner Island
Triple: [Muscongus Bay, hasIsland, Benner Island]
Generated description
Benner Island is a small coastal island located within Muscongus Bay on the mid-coast of Maine, known for its scenic maritime setting and proximity to traditional New England fishing communities.

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_69f2246ee6e48190b69e837b913b398a completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f679a9e95081908aecded7962e0c87 completed May 2, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d62f66108190a932d74bafeeec41 completed June 29, 2026, 2:19 a.m.
NEDg Description generation batch_6a41d6d79f9c8190ab63069d374deddd completed June 29, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a41d72f88fc8190b5194d82e21e2da3 completed June 29, 2026, 2:23 a.m.
Created at: April 29, 2026, 6:48 p.m.