Triple

T14011581
Position Surface form Disambiguated ID Type / Status
Subject Benguet E337091 entity
Predicate contains P35 FINISHED
Object Atok
Atok is a mountainous municipality in the Philippine province of Benguet known for its cool climate, high-altitude farms, and scenic views.
 E1073028 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: Atok | Statement: [Benguet, contains, Atok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Atok
Context triple: [Benguet, contains, Atok]
  • A. Toran
    Toran is a given name that can be used for individuals in various cultures and contexts.
  • B. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • C. Asokoro
    Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
  • D. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • E. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • 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: Atok
Triple: [Benguet, contains, Atok]
Generated description
Atok is a mountainous municipality in the Philippine province of Benguet known for its cool climate, high-altitude farms, and scenic views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Atok
Target entity description: Atok is a mountainous municipality in the Philippine province of Benguet known for its cool climate, high-altitude farms, and scenic views.
  • A. Toran
    Toran is a given name that can be used for individuals in various cultures and contexts.
  • B. Samalkha
    Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
  • C. Asokoro
    Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
  • D. Candaba
    Candaba is a municipality in the Philippine province of Pampanga known for its vast wetlands and rich bird-watching sites.
  • E. Uraku
    Uraku is a Japanese surname associated with individuals such as Akinobu Uraku.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacaa16e88190995fd86951fb54e6 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbada0a2408190b77d163aee17400e completed May 6, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_69fbaeeeb594819087b57da166495a72 completed May 6, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:19 p.m.