Triple

T19164795
Position Surface form Disambiguated ID Type / Status
Subject Miyajima E469150 entity
Predicate hasJapaneseOfficialName P9882 FINISHED
Object 厳島
厳島（いつくしま）は、広島県廿日市市にある「安芸の宮島」として知られる景勝地で、厳島神社と海に浮かぶ大鳥居で有名な島です。
 E1649722 NE FINISHED

How this triple was built (3 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: 厳島 | Statement: [Miyajima, hasJapaneseOfficialName, 厳島]
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: 厳島
Triple: [Miyajima, hasJapaneseOfficialName, 厳島]
Generated description
厳島（いつくしま）は、広島県廿日市市にある「安芸の宮島」として知られる景勝地で、厳島神社と海に浮かぶ大鳥居で有名な島です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasJapaneseOfficialName
Context triple: [Miyajima, hasJapaneseOfficialName, 厳島]
  • A. hasOfficialNameInJapanese chosen
    Indicates that an entity has an official, formally recognized name expressed in the Japanese language.
  • B. hasNameInJapanese
    Indicates that an entity is associated with a specific name expressed in the Japanese language.
  • C. officialNameInRomaji
    Indicates that an entity’s official name is written using the Roman alphabet (romaji) representation.
  • D. eraNameInJapanese
    Indicates the Japanese-language name used for a specific historical or calendar era.
  • E. hasNameInKanji
    Indicates that an entity is associated with a specific written form of its name in Kanji characters.
  • F. None of above.

Provenance (6 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101bc12108819096423d21e6d438a3 completed May 22, 2026, 9:02 a.m.
NEDg Description generation batch_6a102367c6e0819092a483e21fc5cc6c completed May 22, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_6a10243c77748190a556b0e26d9a2a1c completed May 22, 2026, 9:39 a.m.
PD Predicate disambiguation batch_69e4b9b83d6881908e6271c620f74100 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:06 p.m.