Triple

T9900983
Position Surface form Disambiguated ID Type / Status
Subject Colle di Tenda E182280 entity
Predicate namedAfter P63 FINISHED
Object Tenda
Tenda is a historic mountain village and commune in southeastern France’s Alpes-Maritimes, near the Italian border, known for its medieval architecture and Alpine setting.
 E827825 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: Tenda | Statement: [Colle di Tenda, namedAfter, Tenda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tenda
Context triple: [Colle di Tenda, namedAfter, Tenda]
  • A. Tendaba
    Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Tandanus
    Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
  • D. Tunasan
    Tunasan is a barangay and district in the southern part of Muntinlupa City in Metro Manila, Philippines.
  • E. Tuspa
    Tuspa is an alternative name for Tushpa, the ancient capital city of the Urartian kingdom located near modern-day Lake Van in eastern Turkey.
  • 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: Tenda
Triple: [Colle di Tenda, namedAfter, Tenda]
Generated description
Tenda is a historic mountain village and commune in southeastern France’s Alpes-Maritimes, near the Italian border, known for its medieval architecture and Alpine setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tenda
Target entity description: Tenda is a historic mountain village and commune in southeastern France’s Alpes-Maritimes, near the Italian border, known for its medieval architecture and Alpine setting.
  • A. Tendaba
    Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
  • B. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • C. Tandanus
    Tandanus is a genus of freshwater eeltail catfishes native to Australia, known for their elongated bodies and barbels.
  • D. Tunasan
    Tunasan is a barangay and district in the southern part of Muntinlupa City in Metro Manila, Philippines.
  • E. Tuspa
    Tuspa is an alternative name for Tushpa, the ancient capital city of the Urartian kingdom located near modern-day Lake Van in eastern Turkey.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ec05d39c81909debbe9ae7869379 completed April 5, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69d1ecd530e88190a92867a61b291106 completed April 5, 2026, 5:02 a.m.
Created at: March 30, 2026, 8:40 p.m.