Triple

T15815041
Position Surface form Disambiguated ID Type / Status
Subject Taipei Bus Station E383452 entity
Predicate servesOperator P5884 FINISHED
Object Ubus
Ubus is a major Taiwanese intercity bus company known for operating extensive routes connecting Taipei with cities across Taiwan.
 E1178322 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: Ubus | Statement: [Taipei Bus Station, servesOperator, Ubus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ubus
Context triple: [Taipei Bus Station, servesOperator, Ubus]
  • A. Ubosot
    Ubosot is the main ordination hall in a Thai Buddhist temple complex, used for important monastic rituals and ceremonies.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Ubay
    Ubay is a coastal municipality in the northeastern part of Bohol in the Philippines, known as a local commercial and transport hub.
  • D. Ubo
    The Ubo are an indigenous ethnic group in the Lake Sebu area of the Philippines, known for their distinct cultural traditions and close relationship with the region’s natural environment.
  • E. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • 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: Ubus
Triple: [Taipei Bus Station, servesOperator, Ubus]
Generated description
Ubus is a major Taiwanese intercity bus company known for operating extensive routes connecting Taipei with cities across Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ubus
Target entity description: Ubus is a major Taiwanese intercity bus company known for operating extensive routes connecting Taipei with cities across Taiwan.
  • A. Ubosot
    Ubosot is the main ordination hall in a Thai Buddhist temple complex, used for important monastic rituals and ceremonies.
  • B. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • C. Ubay
    Ubay is a coastal municipality in the northeastern part of Bohol in the Philippines, known as a local commercial and transport hub.
  • D. Ubo
    The Ubo are an indigenous ethnic group in the Lake Sebu area of the Philippines, known for their distinct cultural traditions and close relationship with the region’s natural environment.
  • E. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9ad6b29081909ff2abb2c4d866a4 completed May 9, 2026, 8:36 p.m.
NED2 Entity disambiguation (via description) batch_69ff9b443280819088dbf18f7c57406b completed May 9, 2026, 8:38 p.m.
Created at: April 10, 2026, 4:49 a.m.