Triple

T15248106
Position Surface form Disambiguated ID Type / Status
Subject 品川区 E364438 entity
Predicate hasLandmark P105 FINISHED
Object 品川神社
品川神社 is a historic Shinto shrine in Tokyo known for its hilltop view, miniature Mount Fuji mound, and role as a local guardian of the surrounding area.
E1145704 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: 品川神社 | Statement: [品川区, hasLandmark, 品川神社]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 品川神社
Context triple: [品川区, hasLandmark, 品川神社]
  • A. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • B. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • C. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • D. 愛宕神社
    愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
  • E. 八坂寺
    八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
  • 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: 品川神社
Triple: [品川区, hasLandmark, 品川神社]
Generated description
品川神社 is a historic Shinto shrine in Tokyo known for its hilltop view, miniature Mount Fuji mound, and role as a local guardian of the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 品川神社
Target entity description: 品川神社 is a historic Shinto shrine in Tokyo known for its hilltop view, miniature Mount Fuji mound, and role as a local guardian of the surrounding area.
  • A. 八坂神社
    八坂神社 is a famous Shinto shrine in Kyoto, Japan, renowned for hosting the Gion Matsuri, one of the country’s most celebrated annual festivals.
  • B. 日枝神社
    日枝神社 is a prominent Shinto shrine in Tokyo, Japan, revered as the guardian shrine of the city and known for its Sanno Matsuri festival.
  • C. 意賀美神社
    意賀美神社は、大阪府枚方市に鎮座し、古くから地域の人々に親しまれている歴史ある神社です。
  • D. 愛宕神社
    愛宕神社 is a historic Shinto shrine in Tokyo renowned for its hilltop location on Mount Atago and its steep stone staircase, attracting visitors for both worship and scenic city views.
  • E. 八坂寺
    八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.