Triple

T4127600
Position Surface form Disambiguated ID Type / Status
Subject Fremantle Harbour E92761 entity
Predicate UNLocode P1800 FINISHED
Object AUFRE
AUFRE is the UN/LOCODE identifier for Fremantle Harbour, a major seaport serving Perth in Western Australia.
 E415884 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: AUFRE | Statement: [Fremantle Harbour, UNLocode, AUFRE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AUFRE
Context triple: [Fremantle Harbour, UNLocode, AUFRE]
  • A. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • B. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • C. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • D. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • E. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • 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: AUFRE
Triple: [Fremantle Harbour, UNLocode, AUFRE]
Generated description
AUFRE is the UN/LOCODE identifier for Fremantle Harbour, a major seaport serving Perth in Western Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AUFRE
Target entity description: AUFRE is the UN/LOCODE identifier for Fremantle Harbour, a major seaport serving Perth in Western Australia.
  • A. AUF
    AUF is the youth wing of the Norwegian Labour Party, known in Norwegian as Arbeidernes Ungdomsfylking.
  • B. AUF
    AUF (Agence universitaire de la Francophonie) is an international association of French-speaking higher education and research institutions that promotes academic cooperation and the Francophone academic community worldwide.
  • C. AFT
    AFT is a major American labor union representing teachers and other education professionals across the United States.
  • D. AFU
    AFU is the commonly used abbreviation for the Armed Forces of Ukraine, the military organization responsible for defending Ukraine’s sovereignty and territorial integrity.
  • E. UNON
    UNON is the United Nations Office at Nairobi, a major UN headquarters in Africa that hosts and supports numerous UN agencies and programs.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af021b17a08190b520101f54ec1e33 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bc48f0819081ac3f921736854f completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b5778a01e48190acb14d544cd53a63 completed March 14, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69b577f2d46c8190a66b2b536088633c completed March 14, 2026, 3 p.m.
Created at: March 9, 2026, 3:42 p.m.