Triple

T13494429
Position Surface form Disambiguated ID Type / Status
Subject Naha urban area E320722 entity
Predicate hasPart P35 FINISHED
Object Haebaru
Haebaru is a town in Okinawa Prefecture, Japan, forming part of the greater Naha metropolitan area.
 E1226700 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: Haebaru | Statement: [Naha urban area, hasPart, Haebaru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haebaru
Context triple: [Naha urban area, hasPart, Haebaru]
  • A. Aobayama
    Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
  • B. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • C. Niihama
    Niihama is an industrial city in western Japan known for its copper mining history and location along the Seto Inland Sea in Ehime Prefecture.
  • D. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • E. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • 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: Haebaru
Triple: [Naha urban area, hasPart, Haebaru]
Generated description
Haebaru is a town in Okinawa Prefecture, Japan, forming part of the greater Naha metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haebaru
Target entity description: Haebaru is a town in Okinawa Prefecture, Japan, forming part of the greater Naha metropolitan area.
  • A. Aobayama
    Aobayama is a hilly, forested area in Sendai known for housing parts of Tohoku University and offering scenic views over the city.
  • B. Karasuwa
    Karasuwa is a local government area in northeastern Nigeria known for its predominantly rural communities and agricultural activities within Yobe State.
  • C. Niihama
    Niihama is an industrial city in western Japan known for its copper mining history and location along the Seto Inland Sea in Ehime Prefecture.
  • D. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • E. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1d8e088190a2168952ab5dc687 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b1b3bcc81908b1b811ed42205ec completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008b7c29e88190b5a049cb2e541a8f completed May 10, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.