Triple

T10491511
Position Surface form Disambiguated ID Type / Status
Subject Puyo E247429 entity
Predicate roadConnectedTo P11435 FINISHED
Object Tena E386364 NE FINISHED

How this triple was built (2 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: Tena | Statement: [Puyo, roadConnectedTo, Tena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tena
Context triple: [Puyo, roadConnectedTo, Tena]
  • A. Tena chosen
    Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
  • B. Tena
    Tena is a municipality in the Tequendama Province of the Cundinamarca Department in central Colombia, known for its rural landscapes and proximity to Bogotá.
  • C. Yato
    Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
  • D. Uma
    Uma is an Austronesian language spoken primarily in Central Sulawesi, Indonesia.
  • E. Uma
    Uma is a central antagonist in Disney's "Descendants" franchise, known as the ambitious and strong-willed daughter of Ursula who leads a pirate crew on the Isle of the Lost.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097e1c888190bc8e039f2e46181e completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dca37b0881908ced885d9853bc1b completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:24 p.m.