Triple

T17362652
Position Surface form Disambiguated ID Type / Status
Subject Emperor Suzaku E422105 entity
Predicate eraNameUsed P2938 FINISHED
Object Enchō
Enchō was a Japanese era name (nengō) of the early 10th century, used during the reign of Emperor Suzaku.
 E1283199 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: Enchō | Statement: [Emperor Suzaku, eraNameUsed, Enchō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enchō
Context triple: [Emperor Suzaku, eraNameUsed, Enchō]
  • A. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • B. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • C. Tenchō
    Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
  • D. Eikandō
    Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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: Enchō
Triple: [Emperor Suzaku, eraNameUsed, Enchō]
Generated description
Enchō was a Japanese era name (nengō) of the early 10th century, used during the reign of Emperor Suzaku.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enchō
Target entity description: Enchō was a Japanese era name (nengō) of the early 10th century, used during the reign of Emperor Suzaku.
  • A. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • B. Enyō
    Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
  • C. Tenchō
    Tenchō was a Japanese era name (nengō) of the early Heian period, used during the reign of Emperor Junna.
  • D. Eikandō
    Eikandō is a historic Buddhist temple in Kyoto, Japan, renowned for its autumn foliage and iconic statue of the Amida Buddha looking over its shoulder.
  • E. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4e3c3481909dfaa00334c5010e completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02230dd4a4819086abd8ef3859fe15 completed May 11, 2026, 6:42 p.m.
NEDg Description generation batch_6a022c7dc2d48190b0e49b796196d7f4 completed May 11, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a022cce8cfc8190a68a976b4611b234 completed May 11, 2026, 7:23 p.m.
Created at: April 10, 2026, 5:44 a.m.