Triple

T4686219
Position Surface form Disambiguated ID Type / Status
Subject Port of Durban E103926 entity
Predicate UNLocode P1800 FINISHED
Object ZADUR
ZADUR is the UN/LOCODE identifier for the Port of Durban, a major commercial seaport in South Africa.
 E459939 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: ZADUR | Statement: [Port of Durban, UNLocode, ZADUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZADUR
Context triple: [Port of Durban, UNLocode, ZADUR]
  • A. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • E. AZD
    AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
  • 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: ZADUR
Triple: [Port of Durban, UNLocode, ZADUR]
Generated description
ZADUR is the UN/LOCODE identifier for the Port of Durban, a major commercial seaport in South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZADUR
Target entity description: ZADUR is the UN/LOCODE identifier for the Port of Durban, a major commercial seaport in South Africa.
  • A. ZAG
    ZAG is the commonly used abbreviation for Zagłębie Lubin, a professional football club based in Lubin, Poland.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • D. ZUT
    ZUT is the three-letter IATA airport code assigned to Teuge Airport in the Netherlands.
  • E. AZD
    AZD is a common shorthand used to refer to the Arizona Diamondbacks, a Major League Baseball team based in Phoenix, Arizona.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6383c83881908a978e471fe422a2 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b3b0208190bb307cdd53f44306 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be0440e7c881908743b7af9b2fa347 completed March 21, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69be04e21df88190b98ed7b3e27b818c completed March 21, 2026, 2:39 a.m.
Created at: March 20, 2026, 1:16 p.m.