Triple

T24935043
Position Surface form Disambiguated ID Type / Status
Subject Imjin Waeran E623289 entity
Predicate usedWeapon P706 FINISHED
Object Turtle ship (Geobukseon)
The Turtle ship (Geobukseon) was a pioneering Korean armored warship, famed for its covered deck and dragon-headed prow, used by Admiral Yi Sun-sin to repel Japanese naval forces in the late 16th century.
E1657679 NE FINISHED

How this triple was built (2 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: Turtle ship (Geobukseon) | Statement: [Imjin Waeran, usedWeapon, Turtle ship (Geobukseon)]
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: Turtle ship (Geobukseon)
Triple: [Imjin Waeran, usedWeapon, Turtle ship (Geobukseon)]
Generated description
The Turtle ship (Geobukseon) was a pioneering Korean armored warship, famed for its covered deck and dragon-headed prow, used by Admiral Yi Sun-sin to repel Japanese naval forces in the late 16th century.

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_69e2fac6b5a48190a1c38857f00915a9 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423d4043c8190952356417e9b504c completed May 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10333ec7d08190b6f96964a05fc1af completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10341fe7448190815cb4db09d3f298 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034d8d52481908c5c422f943c683b completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:30 a.m.