Triple

T7006963
Position Surface form Disambiguated ID Type / Status
Subject Mount Hope, Rhode Island E162480 entity
Predicate alsoKnownAs P39 FINISHED
Object Montaup
Montaup is an alternate name for Mount Hope, a prominent historic hill and landmark in Rhode Island.
 E635729 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: Montaup | Statement: [Mount Hope, Rhode Island, alsoKnownAs, Montaup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montaup
Context triple: [Mount Hope, Rhode Island, alsoKnownAs, Montaup]
  • A. Riorges
    Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • B. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • C. Veytaux
    Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
  • D. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • E. Montbrisonnaise
    Montbrisonnaise is the French term for a female inhabitant or native of the town of Montbrison in central France.
  • 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: Montaup
Triple: [Mount Hope, Rhode Island, alsoKnownAs, Montaup]
Generated description
Montaup is an alternate name for Mount Hope, a prominent historic hill and landmark in Rhode Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montaup
Target entity description: Montaup is an alternate name for Mount Hope, a prominent historic hill and landmark in Rhode Island.
  • A. Riorges
    Riorges is a commune in central France, near Roanne in the Loire department, known for its residential character and local cultural life.
  • B. La Bresse
    La Bresse is a French mountain town in northeastern France known for its ski resort and outdoor activities in the Vosges.
  • C. Veytaux
    Veytaux is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known for its scenic setting and proximity to the historic Château de Chillon.
  • D. Armançon
    Armançon is a river in central-eastern France that flows through the Burgundy region before joining the Yonne River.
  • E. Montbrisonnaise
    Montbrisonnaise is the French term for a female inhabitant or native of the town of Montbrison in central France.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc35cb848190a839919021efce81 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a43c3a081909b9150d36ba107f5 completed March 28, 2026, 5:42 a.m.
NEDg Description generation batch_69c76b3c87708190a04c48c41bb9904b completed March 28, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69c76bb8c7788190bf54b805f651e28e completed March 28, 2026, 5:48 a.m.
Created at: March 27, 2026, 2:33 p.m.