Triple

T8632005
Position Surface form Disambiguated ID Type / Status
Subject Sciurini E204424 entity
Predicate includesTaxon P1393 FINISHED
Object Tenes
Tenes is a genus of tree squirrels within the tribe Sciurini, a group of rodents known for their arboreal habits and bushy tails.
 E747083 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: Tenes | Statement: [Sciurini, includesTaxon, Tenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenes
Context triple: [Sciurini, includesTaxon, Tenes]
  • A. Teno
    Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
  • B. Tenom
    Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
  • C. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • D. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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: Tenes
Triple: [Sciurini, includesTaxon, Tenes]
Generated description
Tenes is a genus of tree squirrels within the tribe Sciurini, a group of rodents known for their arboreal habits and bushy tails.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenes
Target entity description: Tenes is a genus of tree squirrels within the tribe Sciurini, a group of rodents known for their arboreal habits and bushy tails.
  • A. Teno
    Teno is a Chilean municipality and town located in the Curicó Province of the Maule Region, known for its agricultural activities and rural character.
  • B. Tenom
    Tenom is a rural interior town and district in the Malaysian state of Sabah, known for its agriculture, coffee production, and Murut cultural heritage.
  • C. Togninia
    Togninia is a genus of fungi known for its ascomycetous species, some of which are associated with plant diseases.
  • D. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • E. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4742a89081909f9f7b3621e50b40 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc13073c8190ad6e92b8f7161739 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebd4633f08190971d5d67e5a7496a completed April 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69cebe12fa94819099e37ed9e5cd83b7 completed April 2, 2026, 7:05 p.m.
Created at: March 30, 2026, 6:27 p.m.