Triple

T5441627
Position Surface form Disambiguated ID Type / Status
Subject Port of Kemi E122146 entity
Predicate hasUNLocode P1492 FINISHED
Object FIKEM
FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
 E520630 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: FIKEM | Statement: [Port of Kemi, hasUNLocode, FIKEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIKEM
Context triple: [Port of Kemi, hasUNLocode, FIKEM]
  • A. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • B. EFKA
    EFKA is the ICAO airport code assigned to Kauhava Air Base in Finland.
  • C. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • D. Fener
    Fener is a historic neighborhood in Istanbul, Turkey, known for its Greek Orthodox heritage and landmarks such as the Ecumenical Patriarchate and traditional Ottoman-era houses.
  • E. EFKE
    EFKE is the ICAO airport code assigned to Kemi-Tornio Airport in Finland.
  • 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: FIKEM
Triple: [Port of Kemi, hasUNLocode, FIKEM]
Generated description
FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIKEM
Target entity description: FIKEM is the UN/LOCODE identifier for the Port of Kemi in Finland, used in international shipping and logistics.
  • A. FIF
    FIF is the abbreviation for the Fife Flyers, a professional ice hockey team based in Kirkcaldy, Scotland.
  • B. EFKA
    EFKA is the ICAO airport code assigned to Kauhava Air Base in Finland.
  • C. Fikret
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • D. Fener
    Fener is a historic neighborhood in Istanbul, Turkey, known for its Greek Orthodox heritage and landmarks such as the Ecumenical Patriarchate and traditional Ottoman-era houses.
  • E. EFKE
    EFKE is the ICAO airport code assigned to Kemi-Tornio Airport in Finland.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91c131648190b5a7f49efacc874a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf412daa408190a46926f28339aeac completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf4261735881909c16322af1156d67 completed March 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_69bf42b97d40819087a98c1cc58bb964 completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:07 p.m.