Triple

T16924202
Position Surface form Disambiguated ID Type / Status
Subject Chinese First Phase Offensive E410523 entity
Predicate location P40 FINISHED
Object Onjong
Onjong is a town in North Korea notable as the site of early major engagements during the Chinese First Phase Offensive in the Korean War.
 E1241268 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: Onjong | Statement: [Chinese First Phase Offensive, location, Onjong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Onjong
Context triple: [Chinese First Phase Offensive, location, Onjong]
  • A. Onin
    Onin is a resident of Haven City, a major urban center in the Jak and Daxter video game series.
  • B. Taongi
    Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
  • C. Yong
    Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
  • D. Yong
    Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
  • E. Yong
    Yong was the personal name of King Wuling of Zhao, a reformist ruler of the Warring States period in ancient China known for adopting nomadic military tactics and attire.
  • 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: Onjong
Triple: [Chinese First Phase Offensive, location, Onjong]
Generated description
Onjong is a town in North Korea notable as the site of early major engagements during the Chinese First Phase Offensive in the Korean War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Onjong
Target entity description: Onjong is a town in North Korea notable as the site of early major engagements during the Chinese First Phase Offensive in the Korean War.
  • A. Onin
    Onin is a resident of Haven City, a major urban center in the Jak and Daxter video game series.
  • B. Taongi
    Taongi is a remote, uninhabited coral atoll in the Marshall Islands known for its rich marine biodiversity and relatively undisturbed natural environment.
  • C. Yong
    Yong is a variant transliteration of the Chinese surname and given name commonly romanized as Yang.
  • D. Yong
    Yong was an ancient Chinese city that served as the political and administrative center of the Qin state during the Warring States period.
  • E. Yong
    Yong was the personal name of King Wuling of Zhao, a reformist ruler of the Warring States period in ancient China known for adopting nomadic military tactics and attire.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf1347c819085cf754a0c3e19ed completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd8a88c8190adda386b62fe543c completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0a0852c8190991af93d50fa2216 completed May 10, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.