Triple

T12099496
Position Surface form Disambiguated ID Type / Status
Subject Eti-Osa E288153 entity
Predicate containsArea P11790 FINISHED
Object VGC
VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
E963666 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: VGC | Statement: [Eti-Osa, containsArea, VGC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGC
Context triple: [Eti-Osa, containsArea, VGC]
  • A. VGF
    VGF is the municipal public transport operator responsible for running Frankfurt am Main’s urban transit network, including its U-Bahn and tram services.
  • B. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • E. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • 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: VGC
Triple: [Eti-Osa, containsArea, VGC]
Generated description
VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VGC
Target entity description: VGC is a prominent upscale residential and commercial estate located in the Eti-Osa area of Lagos, Nigeria.
  • A. VGF
    VGF is the municipal public transport operator responsible for running Frankfurt am Main’s urban transit network, including its U-Bahn and tram services.
  • B. GVG
    GVG is the standard abbreviation for the German Courts Constitution Act, a key statute that regulates the structure and jurisdiction of the ordinary courts in Germany.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • E. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155465388190bbe52453c9b11912 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6724de481909fe29e3278136ea2 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fe53d47c8190896a9abf8cc4bc31 completed May 2, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc563a08190b95db768df475a3a completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.