Triple

T11189936
Position Surface form Disambiguated ID Type / Status
Subject Aoba-ku, Sendai E264770 entity
Predicate contains P35 FINISHED
Object Sendai City Hall
Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
 E910733 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: Sendai City Hall | Statement: [Aoba-ku, Sendai, contains, Sendai City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sendai City Hall
Context triple: [Aoba-ku, Sendai, contains, Sendai City Hall]
  • A. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • B. Sapporo City Hall
    Sapporo City Hall is the main municipal government building and administrative center of the city of Sapporo in Hokkaido, Japan.
  • C. Hadano City Hall
    Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
  • D. Kumamoto City Hall
    Kumamoto City Hall is the main municipal government building and administrative center of Kumamoto City in Japan.
  • E. Osaka City Hall
    Osaka City Hall is the main administrative headquarters of Osaka City, located in the central Nakanoshima district and housing the city’s municipal government offices.
  • 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: Sendai City Hall
Triple: [Aoba-ku, Sendai, contains, Sendai City Hall]
Generated description
Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sendai City Hall
Target entity description: Sendai City Hall is the main municipal government building and administrative center for the city of Sendai in Miyagi Prefecture, Japan.
  • A. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • B. Sapporo City Hall
    Sapporo City Hall is the main municipal government building and administrative center of the city of Sapporo in Hokkaido, Japan.
  • C. Hadano City Hall
    Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
  • D. Kumamoto City Hall
    Kumamoto City Hall is the main municipal government building and administrative center of Kumamoto City in Japan.
  • E. Osaka City Hall
    Osaka City Hall is the main administrative headquarters of Osaka City, located in the central Nakanoshima district and housing the city’s municipal government offices.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8af18e4819091811bca657c9cb0 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483ec6ca8819082713a278c987756 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.