Triple

T9930074
Position Surface form Disambiguated ID Type / Status
Subject Amami Ōshima E192624 entity
Predicate largestSettlement P163 FINISHED
Object Naze
Naze is the main urban and administrative center of Amami Ōshima in Japan’s Kagoshima Prefecture.
 E829266 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: Naze | Statement: [Amami Ōshima, largestSettlement, Naze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naze
Context triple: [Amami Ōshima, largestSettlement, Naze]
  • A. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • B. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • C. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • D. Maahas
    Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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: Naze
Triple: [Amami Ōshima, largestSettlement, Naze]
Generated description
Naze is the main urban and administrative center of Amami Ōshima in Japan’s Kagoshima Prefecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naze
Target entity description: Naze is the main urban and administrative center of Amami Ōshima in Japan’s Kagoshima Prefecture.
  • A. Nayot
    Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
  • B. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • C. Nauta
    Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
  • D. Maahas
    Maahas is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5b4196881909a004091a4203c45 completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e258e888190ae4e2abac80e3399 completed April 5, 2026, 7:24 a.m.
NEDg Description generation batch_69d21229a1188190899df0d8d7f78a7d completed April 5, 2026, 7:41 a.m.
NED2 Entity disambiguation (via description) batch_69d212a46ee48190aa629a189dee531d completed April 5, 2026, 7:43 a.m.
Created at: March 30, 2026, 8:43 p.m.