Triple

T17294736
Position Surface form Disambiguated ID Type / Status
Subject Suita Station E419875 entity
Predicate locatedNear P294 FINISHED
Object Suita City Hall
Suita City Hall is the main administrative government building and civic center serving the city of Suita in Osaka Prefecture, Japan.
 E1262767 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: Suita City Hall | Statement: [Suita Station, locatedNear, Suita City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suita City Hall
Context triple: [Suita Station, locatedNear, Suita City Hall]
  • A. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • B. 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.
  • C. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • D. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in Japan.
  • E. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • 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: Suita City Hall
Triple: [Suita Station, locatedNear, Suita City Hall]
Generated description
Suita City Hall is the main administrative government building and civic center serving the city of Suita in Osaka Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suita City Hall
Target entity description: Suita City Hall is the main administrative government building and civic center serving the city of Suita in Osaka Prefecture, Japan.
  • A. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • B. 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.
  • C. Tsuru City Hall
    Tsuru City Hall is the main municipal government building and administrative center serving the city of Tsuru in Japan.
  • D. Wakayama City Hall
    Wakayama City Hall is the main municipal government building and administrative center serving the city of Wakayama in Japan.
  • E. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437869ec08190b4a63fb1ee6a71ee completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c407fe8819095b16b171f29cf1b completed May 11, 2026, 7:58 a.m.
NEDg Description generation batch_6a018cf93d44819083defe64923320d5 completed May 11, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a018e958cf08190b265c8a3bfd44512 completed May 11, 2026, 8:08 a.m.
Created at: April 10, 2026, 5:40 a.m.