Triple

T21716730
Position Surface form Disambiguated ID Type / Status
Subject Kagerō-class destroyer E536049 entity
Predicate hasPart P35 FINISHED
Object Natsushio
Natsushio was a Japanese Kagerō-class destroyer that served in the Imperial Japanese Navy during World War II.
E1512458 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: Natsushio | Statement: [Kagerō-class destroyer, hasPart, Natsushio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natsushio
Context triple: [Kagerō-class destroyer, hasPart, Natsushio]
  • A. Horinouchi
    Horinouchi is a neighborhood located within Tokyo’s Suginami ward.
  • B. Naitō
    Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
  • C. Shin-Koiwa
    Shin-Koiwa is a residential and commercial neighborhood in Tokyo known for its busy railway station, local shopping streets, and traditional shitamachi atmosphere.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • 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: Natsushio
Triple: [Kagerō-class destroyer, hasPart, Natsushio]
Generated description
Natsushio was a Japanese Kagerō-class destroyer that served in the Imperial Japanese Navy during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Natsushio
Target entity description: Natsushio was a Japanese Kagerō-class destroyer that served in the Imperial Japanese Navy during World War II.
  • A. Horinouchi
    Horinouchi is a neighborhood located within Tokyo’s Suginami ward.
  • B. Naitō
    Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
  • C. Shin-Koiwa
    Shin-Koiwa is a residential and commercial neighborhood in Tokyo known for its busy railway station, local shopping streets, and traditional shitamachi atmosphere.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d63e23481908dae2744381d57f9 completed May 18, 2026, 1:37 a.m.
NEDg Description generation batch_6a0a6e556f3c8190927d1c0cba23463c completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6f3de2e88190824c9cc266c7ee8c completed May 18, 2026, 1:45 a.m.
Created at: April 16, 2026, 6:47 p.m.