Triple

T6854347
Position Surface form Disambiguated ID Type / Status
Subject Camp Schwab E158100 entity
Predicate location P40 FINISHED
Object Henoko
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
 E624913 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: Henoko | Statement: [Camp Schwab, location, Henoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henoko
Context triple: [Camp Schwab, location, Henoko]
  • A. Haruko
    Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in 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: Henoko
Triple: [Camp Schwab, location, Henoko]
Generated description
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henoko
Target entity description: Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
  • A. Haruko
    Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
  • B. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Nagako
    Nagako, better known as Empress Kōjun, was the long-serving consort of Emperor Shōwa (Hirohito) and the mother of Emperor Emeritus Akihito of Japan.
  • E. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d851321481908c49c2c949359703 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7427dda908190953cf8b535249980 completed March 28, 2026, 2:52 a.m.
NEDg Description generation batch_69c7435af2b481908e06b3ec72dae7da completed March 28, 2026, 2:56 a.m.
NED2 Entity disambiguation (via description) batch_69c7443919ec819089040e50462864d1 completed March 28, 2026, 3 a.m.
Created at: March 27, 2026, 2:20 p.m.