Triple

T19282595
Position Surface form Disambiguated ID Type / Status
Subject Port of Vlora E482225 entity
Predicate UNLOCODE P1800 FINISHED
Object ALVOA
ALVOA is the UN/LOCODE designation for the Port of Vlora in Albania, used in international trade and transport documentation.
 E1368273 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: ALVOA | Statement: [Port of Vlora, UNLOCODE, ALVOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ALVOA
Context triple: [Port of Vlora, UNLOCODE, ALVOA]
  • A. Aul
    Aul is a town and administrative block in the Kendrapara district of Odisha, India, known for its historical forts and temples.
  • B. Olao
    Olao is a given name derived from the Old Norse name Óláfr, historically borne by Scandinavian rulers and later adapted into various European languages.
  • C. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • D. ALO
    ALO is the National Rail station code for Alloa railway station in Clackmannanshire, Scotland.
  • E. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • 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: ALVOA
Triple: [Port of Vlora, UNLOCODE, ALVOA]
Generated description
ALVOA is the UN/LOCODE designation for the Port of Vlora in Albania, used in international trade and transport documentation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ALVOA
Target entity description: ALVOA is the UN/LOCODE designation for the Port of Vlora in Albania, used in international trade and transport documentation.
  • A. Aul
    Aul is a town and administrative block in the Kendrapara district of Odisha, India, known for its historical forts and temples.
  • B. Olao
    Olao is a given name derived from the Old Norse name Óláfr, historically borne by Scandinavian rulers and later adapted into various European languages.
  • C. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • D. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • E. ALO
    ALO is the National Rail station code for Alloa railway station in Clackmannanshire, Scotland.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbffda78819088bf8dbc61756831 completed April 20, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a070e7e2b7881909e3461175f8b3c8c completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f8b626c819083a31123cd6035cf completed May 15, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a071018f61881908ace460b83dac186 completed May 15, 2026, 12:22 p.m.
Created at: April 10, 2026, 1:30 p.m.