Triple

T5353171
Position Surface form Disambiguated ID Type / Status
Subject Port of Gothenburg E102624 entity
Predicate UNLocode P1800 FINISHED
Object SEGOT
SEGOT is the UN/LOCODE identifier for the Port of Gothenburg, Sweden’s largest seaport and a major logistics hub in Northern Europe.
 E513332 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: SEGOT | Statement: [Port of Gothenburg, UNLocode, SEGOT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEGOT
Context triple: [Port of Gothenburg, UNLocode, SEGOT]
  • A. Etoges
    Etoges is a small commune in northeastern France, known for its historic Château d’Étoges and its location in the Champagne wine region.
  • B. Semnoz
    Semnoz is a mountain in the French Alps known for its panoramic views over Lake Annecy and its popular hiking, skiing, and cycling routes.
  • C. Sogod
    Sogod is a municipality in the province of Cebu in the Philippines, known for its coastal and rural communities.
  • D. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • E. Sowams
    Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
  • 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: SEGOT
Triple: [Port of Gothenburg, UNLocode, SEGOT]
Generated description
SEGOT is the UN/LOCODE identifier for the Port of Gothenburg, Sweden’s largest seaport and a major logistics hub in Northern Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEGOT
Target entity description: SEGOT is the UN/LOCODE identifier for the Port of Gothenburg, Sweden’s largest seaport and a major logistics hub in Northern Europe.
  • A. Etoges
    Etoges is a small commune in northeastern France, known for its historic Château d’Étoges and its location in the Champagne wine region.
  • B. Semnoz
    Semnoz is a mountain in the French Alps known for its panoramic views over Lake Annecy and its popular hiking, skiing, and cycling routes.
  • C. Sogod
    Sogod is a municipality in the province of Cebu in the Philippines, known for its coastal and rural communities.
  • D. Tegsedi
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • E. Sowams
    Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21dbc540819086aca16af1aa6213 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf227781bc819083b8aba59618cc46 completed March 21, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69bf231d41848190b67de46bdbb38ab3 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.