Triple

T15560101
Position Surface form Disambiguated ID Type / Status
Subject Port of Ancona E370973 entity
Predicate hasUNLocode P1492 FINISHED
Object ITAOI E1163456 NE FINISHED

How this triple was built (2 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: ITAOI | Statement: [Port of Ancona, hasUNLocode, ITAOI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ITAOI
Context triple: [Port of Ancona, hasUNLocode, ITAOI]
  • A. ITAOI chosen
    ITAOI is the international port code identifying the Port of Ancona in Italy.
  • B. IAO
    IAO is the abbreviation for the Fraunhofer Institute for Industrial Engineering, a German research institute focused on applied industrial and organizational engineering.
  • C. IOJ
    IOJ is Jamaica’s national cultural institution responsible for preserving, researching, and promoting the country’s history, arts, and heritage.
  • D. IOI
    IOI is a global non-governmental organization dedicated to promoting sustainable ocean governance, marine policy education, and capacity building for the protection and management of the world’s seas.
  • E. TIOH
    TIOH is the commonly used acronym for the United States Army Institute of Heraldry, the organization responsible for designing and overseeing official military symbols, insignia, and heraldic items for the U.S. Army and other federal agencies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4046c08190a43bd5577a97f33d completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:09 a.m.