Triple

T3770735
Position Surface form Disambiguated ID Type / Status
Subject Napo Province E83190 entity
Predicate capital P234 FINISHED
Object Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
 E386364 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: Tena | Statement: [Napo Province, capital, Tena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tena
Context triple: [Napo Province, capital, Tena]
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • C. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • D. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • E. Shiga
    Shiga is a landlocked prefecture in central Japan known for encompassing Lake Biwa, the country’s largest freshwater lake, and for its historical sites and natural scenery.
  • 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: Tena
Triple: [Napo Province, capital, Tena]
Generated description
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tena
Target entity description: Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
  • A. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • B. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • C. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • D. Marum
    Marum is a former municipality in the Dutch province of Groningen that became part of the larger municipality of Westerkwartier after an administrative reorganization.
  • E. Shiga
    Shiga is a landlocked prefecture in central Japan known for encompassing Lake Biwa, the country’s largest freshwater lake, and for its historical sites and natural scenery.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc307cf8819090730b5e697bb197 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e61c8dc881908e298528b1e42c0c completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:36 p.m.