Triple

T31758764
Position Surface form Disambiguated ID Type / Status
Subject 春帆楼 E810622 entity
Predicate nearByLandmark P53174 FINISHED
Object 赤間神宮
赤間神宮 is a Shinto shrine in Shimonoseki, Yamaguchi Prefecture, famed for its striking vermilion architecture and its association with the tragic tale of Emperor Antoku and the Battle of Dan-no-ura.
 E1976134 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: 赤間神宮 | Statement: [春帆楼, nearByLandmark, 赤間神宮]
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: 赤間神宮
Triple: [春帆楼, nearByLandmark, 赤間神宮]
Generated description
赤間神宮 is a Shinto shrine in Shimonoseki, Yamaguchi Prefecture, famed for its striking vermilion architecture and its association with the tragic tale of Emperor Antoku and the Battle of Dan-no-ura.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearByLandmark
Context triple: [春帆楼, nearByLandmark, 赤間神宮]
  • A. proximityToLandmark chosen
    Indicates a spatial relationship where one entity is located near or close to a specified landmark.
  • B. typicalNearbyLandmarks
    Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
  • C. nearbyTo
    Indicates that one entity is located close in distance or position to another entity.
  • D. navigationLandmarkFor
    Indicates that one entity serves as a reference point or guide used to navigate to or within another entity.
  • E. nearbyLocation
    Indicates that one location is situated close to another location in physical space.
  • 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_69f348e340d48190b780fae618c51464 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd783fed9c81909e792702636c4f1f completed May 8, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b948c77a08190a9c40ea372e18d25 completed June 12, 2026, 5:09 a.m.
NEDg Description generation batch_6a2b965fdcf481909339a3c4d136b2fd completed June 12, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_6a2b976d93e88190b2b306ebcb7a1769 completed June 12, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69fd7788e63c81909de22fdafcfe41c0 completed May 8, 2026, 5:41 a.m.
Created at: April 30, 2026, 11:30 p.m.