Triple

T10014925
Position Surface form Disambiguated ID Type / Status
Subject Aichi Prefecture E199464 entity
Predicate containsCity P294 FINISHED
Object Tahara
Tahara is a coastal city in central Japan known for its automotive manufacturing industry and scenic Cape Irago on the Atsumi Peninsula.
 E836255 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: Tahara | Statement: [Aichi Prefecture, containsCity, Tahara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tahara
Context triple: [Aichi Prefecture, containsCity, Tahara]
  • A. Tahara
    Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
  • B. Hirapa
    Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
  • C. Subashi ruins
    The Subashi ruins are the remains of an ancient Buddhist temple complex near Kucha in Xinjiang, China, notable for its role on the Silk Road and its well-preserved Buddhist art and architecture.
  • D. Kulun
    Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
  • E. Seibal
    Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
  • 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: Tahara
Triple: [Aichi Prefecture, containsCity, Tahara]
Generated description
Tahara is a coastal city in central Japan known for its automotive manufacturing industry and scenic Cape Irago on the Atsumi Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tahara
Target entity description: Tahara is a coastal city in central Japan known for its automotive manufacturing industry and scenic Cape Irago on the Atsumi Peninsula.
  • A. Tahara
    Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
  • B. Hirapa
    Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
  • C. Subashi ruins
    The Subashi ruins are the remains of an ancient Buddhist temple complex near Kucha in Xinjiang, China, notable for its role on the Silk Road and its well-preserved Buddhist art and architecture.
  • D. Kulun
    Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
  • E. Seibal
    Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.