Triple

T3352435
Position Surface form Disambiguated ID Type / Status
Subject Uruma, Okinawa, Japan E70526 entity
Predicate hasCityHall P796 FINISHED
Object Uruma City Hall
Uruma City Hall is the main municipal government building and administrative center serving the city of Uruma in Okinawa Prefecture, Japan.
 E352020 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: Uruma City Hall | Statement: [Uruma, Okinawa, Japan, hasCityHall, Uruma City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uruma City Hall
Context triple: [Uruma, Okinawa, Japan, hasCityHall, Uruma City Hall]
  • A. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • B. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • C. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • D. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka Prefecture, Japan.
  • E. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo 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: Uruma City Hall
Triple: [Uruma, Okinawa, Japan, hasCityHall, Uruma City Hall]
Generated description
Uruma City Hall is the main municipal government building and administrative center serving the city of Uruma in Okinawa Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uruma City Hall
Target entity description: Uruma City Hall is the main municipal government building and administrative center serving the city of Uruma in Okinawa Prefecture, Japan.
  • A. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • B. Nagoya City Hall
    Nagoya City Hall is the central municipal government building and administrative headquarters of the city of Nagoya, Japan.
  • C. Minoh City Hall
    Minoh City Hall is the main municipal government building and administrative center serving the city of Minoh in Osaka Prefecture, Japan.
  • D. Mishima City Hall
    Mishima City Hall is the main municipal government building and administrative center serving the city of Mishima in Shizuoka Prefecture, Japan.
  • E. Itami City Hall
    Itami City Hall is the main municipal government building and administrative center serving the city of Itami in Hyōgo 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb221a7d8819086cd0f826eca0fe8 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32532ebd08190bf174d72fba89a75 completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b328f5e6ac8190935f88e2b7307147 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b32ca6aa4481908b044b07b6d2e529 completed March 12, 2026, 9:14 p.m.
Created at: March 8, 2026, 3:13 p.m.