Triple

T20057474
Position Surface form Disambiguated ID Type / Status
Subject Port of Fukuoka E499377 entity
Predicate UNLocode P1800 FINISHED
Object JPFUK
JPFUK is the UN/LOCODE identifier assigned to the Port of Fukuoka in Japan for international trade and transport logistics.
E1408941 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: JPFUK | Statement: [Port of Fukuoka, UNLocode, JPFUK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JPFUK
Context triple: [Port of Fukuoka, UNLocode, JPFUK]
  • A. DFJP
    DFJP is the commonly used abbreviation for Switzerland’s Federal Department of Justice and Police, the federal ministry responsible for justice, security, and migration matters.
  • B. JF
    JF is the standard abbreviation for the Journal of Finance, a leading academic journal in the field of financial economics.
  • C. FJP
    FJP is the commonly used abbreviation for Egypt’s Freedom and Justice Party, a political party historically associated with the Muslim Brotherhood.
  • D. JFA
    JFA is the governing body responsible for overseeing and organizing football activities and competitions in Jordan.
  • E. JFA
    JFA is the commonly used abbreviation for the Japan Football Association, the governing body for football in Japan.
  • 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: JPFUK
Triple: [Port of Fukuoka, UNLocode, JPFUK]
Generated description
JPFUK is the UN/LOCODE identifier assigned to the Port of Fukuoka in Japan for international trade and transport logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JPFUK
Target entity description: JPFUK is the UN/LOCODE identifier assigned to the Port of Fukuoka in Japan for international trade and transport logistics.
  • A. DFJP
    DFJP is the commonly used abbreviation for Switzerland’s Federal Department of Justice and Police, the federal ministry responsible for justice, security, and migration matters.
  • B. JF
    JF is the standard abbreviation for the Journal of Finance, a leading academic journal in the field of financial economics.
  • C. FJP
    FJP is the commonly used abbreviation for Egypt’s Freedom and Justice Party, a political party historically associated with the Muslim Brotherhood.
  • D. JFA
    JFA is the governing body responsible for overseeing and organizing football activities and competitions in Jordan.
  • E. JFA
    JFA is the commonly used abbreviation for the Japan Football Association, the governing body for football in Japan.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6637325908190aefc0e27e2ed5750 completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08160e5fe481909cac91327be89022 completed May 16, 2026, 7 a.m.
NEDg Description generation batch_6a0816d3c71081909138d3144a108266 completed May 16, 2026, 7:03 a.m.
NED2 Entity disambiguation (via description) batch_6a081798cb48819084ab456f79b68eb9 completed May 16, 2026, 7:07 a.m.
Created at: April 11, 2026, 3:38 p.m.