Triple

T32793879
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 302 in Maine E838704 entity
Predicate hasAlternateNameInSection P627 FINISHED
Object Roosevelt Trail
Roosevelt Trail is a scenic section of U.S. Route 302 in Maine known for connecting Portland to the Lakes Region and the western mountains.
 E2024016 NE FINISHED

How this triple was built (3 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: Roosevelt Trail | Statement: [U.S. Route 302 in Maine, hasAlternateNameInSection, Roosevelt Trail]
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: Roosevelt Trail
Triple: [U.S. Route 302 in Maine, hasAlternateNameInSection, Roosevelt Trail]
Generated description
Roosevelt Trail is a scenic section of U.S. Route 302 in Maine known for connecting Portland to the Lakes Region and the western mountains.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAlternateNameInSection
Context triple: [U.S. Route 302 in Maine, hasAlternateNameInSection, Roosevelt Trail]
  • A. hasSectionKnownAs chosen
    Indicates that an entity includes a section or part that is referred to by a specific name.
  • B. hasTitleHolderAlternativeName
    Indicates that an entity serving as a title holder is known by an alternative or additional name.
  • C. haveAlternativeTitle
    Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
  • D. hasAlternativeTitleCombination
    Indicates that an entity is associated with one or more alternative titles considered together as a specific combination or set.
  • E. hasAlternateKeySections
    Indicates that an entity is associated with one or more alternative key segments or components that can also uniquely identify it.
  • F. None of above.

Provenance (6 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_69f3493c7f6881908edf2aa13631d1e0 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fd32848ea88190a71e6df402bbb30e completed May 8, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b16c42248190abbe1cd7d452b46f completed June 19, 2026, 3:03 a.m.
NEDg Description generation batch_6a34b2f0f04881909798d27de56fcb58 completed June 19, 2026, 3:09 a.m.
NED2 Entity disambiguation (via description) batch_6a34b3a55e608190a35c1a177903f015 completed June 19, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69fd2d7e95588190991d5f21e25155df completed May 8, 2026, 12:25 a.m.
Created at: May 1, 2026, 1:14 a.m.