Triple

T3650534
Position Surface form Disambiguated ID Type / Status
Subject Keelung E77406 entity
Predicate alternativeName P39 FINISHED
Object Jilong
Jilong is a major port city in northern Taiwan, known in English as Keelung.
 E376548 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: Jilong | Statement: [Keelung, alternativeName, Jilong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jilong
Context triple: [Keelung, alternativeName, Jilong]
  • A. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Jinhai
    Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
  • D. Chuping
    Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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: Jilong
Triple: [Keelung, alternativeName, Jilong]
Generated description
Jilong is a major port city in northern Taiwan, known in English as Keelung.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jilong
Target entity description: Jilong is a major port city in northern Taiwan, known in English as Keelung.
  • A. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • B. Changling
    Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
  • C. Jinhai
    Jinhai is one of the co-pilots of the Jaeger Guardian Bravo in the Pacific Rim universe.
  • D. Chuping
    Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc39303bc819090725643e53a96d6 completed March 8, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f4002948190af41072962006f51 completed March 13, 2026, 5:54 p.m.
NEDg Description generation batch_69b4531590408190b6048b6b0335eb0a completed March 13, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69b466719c788190a70d8338b45c28ab completed March 13, 2026, 7:33 p.m.
Created at: March 8, 2026, 3:24 p.m.