Triple

T37060643
Position Surface form Disambiguated ID Type / Status
Subject 四條畷市 E917313 entity
Predicate 史跡 P81077 FINISHED
Object 飯盛城跡
飯盛城跡は、大阪府四條畷市と大東市にまたがる戦国武将・三好長慶の本拠として知られる山城の遺跡です。
 E2211445 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: 飯盛城跡 | Statement: [四條畷市, 史跡, 飯盛城跡]
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: 飯盛城跡
Triple: [四條畷市, 史跡, 飯盛城跡]
Generated description
飯盛城跡は、大阪府四條畷市と大東市にまたがる戦国武将・三好長慶の本拠として知られる山城の遺跡です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 史跡
Context triple: [四條畷市, 史跡, 飯盛城跡]
  • A. 遺構
    Indicates the existence or presence of physical remains, ruins, or structural traces left from past constructions, activities, or settlements.
  • B. 歴史
    Indicates a relationship where something pertains to, records, or is involved in the events, development, or study of the past over time.
  • C. otherHistoricSee chosen
    Indicates that an entity is associated with or linked to another historically significant site, event, or point of interest that can be seen or visited.
  • D. 再建の歴史
    Indicates a historical relationship of repeated reconstruction or rebuilding events associated with an entity over time.
  • E. historicalSee
    Indicates that one entity observed, encountered, or took visual notice of another entity in the past.
  • 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb34e5576881909394355c8ec6ddd2 completed May 6, 2026, 12:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c53fd988190aaf6521e5984470b completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e943fdef48190b1487178b6dbe237 completed June 26, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a3eedfa8f3481908950dbde596ea364 completed June 26, 2026, 9:24 p.m.
PD Predicate disambiguation batch_69fb2f6171e88190bf1e0ee6a644b6a9 completed May 6, 2026, 12:09 p.m.
Created at: May 3, 2026, 4:14 p.m.