Triple

T21261754
Position Surface form Disambiguated ID Type / Status
Subject JR Sekihoku Main Line E524019 entity
Predicate servesCity P82 FINISHED
Object Engaru
Engaru is a town in Hokkaido, Japan, known as a regional hub in the Okhotsk area with access provided by the JR Sekihoku Main Line.
 E1474639 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: Engaru | Statement: [JR Sekihoku Main Line, servesCity, Engaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engaru
Context triple: [JR Sekihoku Main Line, servesCity, Engaru]
  • A. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Aaru
    Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
  • D. Galpu
    Galpu is an Australian Aboriginal Yolŋu language spoken in northeast Arnhem Land, closely related to other Yolŋu Matha varieties.
  • E. Toaripi
    Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
  • 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: Engaru
Triple: [JR Sekihoku Main Line, servesCity, Engaru]
Generated description
Engaru is a town in Hokkaido, Japan, known as a regional hub in the Okhotsk area with access provided by the JR Sekihoku Main Line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engaru
Target entity description: Engaru is a town in Hokkaido, Japan, known as a regional hub in the Okhotsk area with access provided by the JR Sekihoku Main Line.
  • A. Gararu
    Gararu is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its rural economy and proximity to the São Francisco River.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Aaru
    Aaru is the ancient Egyptian paradise, envisioned as a lush, idealized reed-filled afterlife where the righteous dead lived in eternal peace and abundance.
  • D. Galpu
    Galpu is an Australian Aboriginal Yolŋu language spoken in northeast Arnhem Land, closely related to other Yolŋu Matha varieties.
  • E. Toaripi
    Toaripi is a given name most notably borne by Toaripi Lauti, a political figure from Tuvalu.
  • 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e899e081909d3c98fb12a8b476 completed April 21, 2026, 8:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a098ffe7b2c8190b80df1c552c84cdd completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990d50fa4819093221bb31735f7a5 completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991bc8370819087b205185299acce completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 3:59 p.m.