Triple

T8265699
Position Surface form Disambiguated ID Type / Status
Subject Malé Commercial Harbour E193295 entity
Predicate near P350 FINISHED
Object Malé city centre
Malé city centre is the densely built, bustling urban core of the Maldivian capital, serving as its main hub for government, commerce, and daily city life.
 E722144 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: Malé city centre | Statement: [Malé Commercial Harbour, near, Malé city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malé city centre
Context triple: [Malé Commercial Harbour, near, Malé city centre]
  • A. Dolní náměstí
    Dolní náměstí is a historic central square in the Czech city of Olomouc, known for its Baroque architecture, fountains, and vibrant public life.
  • B. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • C. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • D. Horní náměstí
    Horní náměstí is the main historic square of Olomouc, Czech Republic, known for its Baroque architecture and the UNESCO-listed Holy Trinity Column.
  • E. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • 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: Malé city centre
Triple: [Malé Commercial Harbour, near, Malé city centre]
Generated description
Malé city centre is the densely built, bustling urban core of the Maldivian capital, serving as its main hub for government, commerce, and daily city life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malé city centre
Target entity description: Malé city centre is the densely built, bustling urban core of the Maldivian capital, serving as its main hub for government, commerce, and daily city life.
  • A. Dolní náměstí
    Dolní náměstí is a historic central square in the Czech city of Olomouc, known for its Baroque architecture, fountains, and vibrant public life.
  • B. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • C. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • D. Horní náměstí
    Horní náměstí is the main historic square of Olomouc, Czech Republic, known for its Baroque architecture and the UNESCO-listed Holy Trinity Column.
  • E. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794c54448190a685b8d0070980d7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357b0ae081909fdaeab31624e6f1 completed April 1, 2026, 3:10 p.m.
NEDg Description generation batch_69cd4e5e9a2c819099a65053a12c8fde completed April 1, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69cd507ce2a881909da6871a9f6df119 completed April 1, 2026, 5:06 p.m.
Created at: March 30, 2026, 5:50 p.m.