Triple

T19563665
Position Surface form Disambiguated ID Type / Status
Subject Yale-Toumey Forest E489521 entity
Predicate isNamedAfter P63 FINISHED
Object Toumey
Toumey is the namesake of Yale-Toumey Forest, likely a notable figure associated with forestry or Yale University’s environmental or forestry programs.
 E1383074 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: Toumey | Statement: [Yale-Toumey Forest, isNamedAfter, Toumey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toumey
Context triple: [Yale-Toumey Forest, isNamedAfter, Toumey]
  • A. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • B. Kleihues
    Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
  • C. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Tumpen
    Tumpen is a village in the Ötztal valley of Tyrol, Austria, known as one of the localities belonging to the municipality of Umhausen.
  • E. Taje
    Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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: Toumey
Triple: [Yale-Toumey Forest, isNamedAfter, Toumey]
Generated description
Toumey is the namesake of Yale-Toumey Forest, likely a notable figure associated with forestry or Yale University’s environmental or forestry programs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toumey
Target entity description: Toumey is the namesake of Yale-Toumey Forest, likely a notable figure associated with forestry or Yale University’s environmental or forestry programs.
  • A. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • B. Kleihues
    Kleihues is a German surname most notably associated with architect Josef Paul Kleihues, known for his influential postmodern and urban reconstruction projects.
  • C. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Tumpen
    Tumpen is a village in the Ötztal valley of Tyrol, Austria, known as one of the localities belonging to the municipality of Umhausen.
  • E. Taje
    Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f75b2d481909fa3f603fe6bd5bd completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075787d15c8190b680c74afa7b2220 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758aeffb081909c100c7509010d54 completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a07598fdd908190b3f999b61447f8d2 completed May 15, 2026, 5:36 p.m.
Created at: April 10, 2026, 1:42 p.m.