Triple

T11751643
Position Surface form Disambiguated ID Type / Status
Subject DPMI E279419 entity
Predicate relatedTo P37 FINISHED
Object VCPI
VCPI is an organization or initiative associated with DPMI, likely operating in a related professional, educational, or development-focused domain.
E944923 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: VCPI | Statement: [DPMI, relatedTo, VCPI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VCPI
Context triple: [DPMI, relatedTo, VCPI]
  • A. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • B. VCBI
    VCBI is the ICAO airport code for Bandaranaike International Airport, the main international gateway to Sri Lanka located near Colombo.
  • C. VIC
    VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
  • D. VIC
    VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
  • E. RPVI
    RPVI is the ICAO airport code for Iloilo International Airport in the Philippines.
  • 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: VCPI
Triple: [DPMI, relatedTo, VCPI]
Generated description
VCPI is an organization or initiative associated with DPMI, likely operating in a related professional, educational, or development-focused domain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VCPI
Target entity description: VCPI is an organization or initiative associated with DPMI, likely operating in a related professional, educational, or development-focused domain.
  • A. VVCI
    VVCI is the ICAO airport code for Cat Bi International Airport in Hai Phong, Vietnam.
  • B. VCBI
    VCBI is the ICAO airport code for Bandaranaike International Airport, the main international gateway to Sri Lanka located near Colombo.
  • C. VIC
    VIC is the National Rail station code for London Victoria, a major central London railway terminus and Underground station.
  • D. VIC
    VIC is the standard abbreviation for the Australian state of Victoria, commonly used in postal addresses and official contexts.
  • E. RPVI
    RPVI is the ICAO airport code for Iloilo International Airport in the Philippines.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a509c2448190b0deb7ed29c3a73f completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a13550081909a26f57b30d68e03 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05ad36e4c8190b7239e5b33713369 completed April 28, 2026, 6:59 a.m.
Created at: April 8, 2026, 9:41 p.m.