Triple

T8851081
Position Surface form Disambiguated ID Type / Status
Subject Alajeró E210638 entity
Predicate contains P35 FINISHED
Object Erquito
Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
 E763506 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: Erquito | Statement: [Alajeró, contains, Erquito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erquito
Context triple: [Alajeró, contains, Erquito]
  • A. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • B. Iberus
    Iberus is the ancient Latin name for the Ebro River, one of the major rivers of the Iberian Peninsula in present-day Spain.
  • C. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • D. Gavicalis
    Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
  • E. Cruquius
    Cruquius is a village in North Holland, Netherlands, known for its historic steam pumping station that helped drain the Haarlemmermeer lake.
  • 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: Erquito
Triple: [Alajeró, contains, Erquito]
Generated description
Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erquito
Target entity description: Erquito is a small locality within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
  • A. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • B. Iberus
    Iberus is the ancient Latin name for the Ebro River, one of the major rivers of the Iberian Peninsula in present-day Spain.
  • C. Guisa
    Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
  • D. Gavicalis
    Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
  • E. Cruquius
    Cruquius is a village in North Holland, Netherlands, known for its historic steam pumping station that helped drain the Haarlemmermeer lake.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c2300c819097b1ca6ebe2f749a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa2a53044819099aa7bb401cd4ba6 completed April 3, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69cfa3a03b7c819085fa31d853c79392 completed April 3, 2026, 11:25 a.m.
Created at: March 30, 2026, 6:49 p.m.