Triple

T3040029
Position Surface form Disambiguated ID Type / Status
Subject Port of Nagoya E83102 entity
Predicate UNLocode P1800 FINISHED
Object JPNGO
JPNGO is the UN/LOCODE identifier assigned to the Port of Nagoya in Japan for international shipping and logistics.
 E320645 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: JPNGO | Statement: [Port of Nagoya, UNLocode, JPNGO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JPNGO
Context triple: [Port of Nagoya, UNLocode, JPNGO]
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • C. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • D. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • E. Peng
    Peng is a Chinese surname borne by numerous notable figures in politics, arts, and academia throughout Chinese history and the modern era.
  • 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: JPNGO
Triple: [Port of Nagoya, UNLocode, JPNGO]
Generated description
JPNGO is the UN/LOCODE identifier assigned to the Port of Nagoya in Japan for international shipping and logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JPNGO
Target entity description: JPNGO is the UN/LOCODE identifier assigned to the Port of Nagoya in Japan for international shipping and logistics.
  • A. JOG
    JOG is the IATA airport code for Adisutjipto International Airport serving Yogyakarta, Indonesia.
  • B. PJ
    PJ is a musical artist known for contributing guest performances to other musicians’ tracks.
  • C. PJ
    PJ is the commonly used given name of PJ Hyett, an American software developer and co-founder of the code hosting platform GitHub.
  • D. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • E. Peng
    Peng is a Chinese surname borne by numerous notable figures in politics, arts, and academia throughout Chinese history and the modern era.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1decc2e3c8190abdafb11632741a0 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1dfc77c1881909688d5037682fa01 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1e03121148190840fc48a50c4ec0e completed March 11, 2026, 9:35 p.m.
Created at: March 8, 2026, 3:01 p.m.