Triple

T10847922
Position Surface form Disambiguated ID Type / Status
Subject Paola E256062 entity
Predicate hasNeighbour P5707 FINISHED
Object Fgura
Fgura is a densely populated town in the South Eastern Region of Malta, known for its residential character and proximity to the Grand Harbour area.
E889716 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: Fgura | Statement: [Paola, hasNeighbour, Fgura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fgura
Context triple: [Paola, hasNeighbour, Fgura]
  • A. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • B. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • C. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • D. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
  • E. Fygi
    Fygi is a Dutch jazz and pop singer known for her smooth vocal style and international solo career.
  • 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: Fgura
Triple: [Paola, hasNeighbour, Fgura]
Generated description
Fgura is a densely populated town in the South Eastern Region of Malta, known for its residential character and proximity to the Grand Harbour area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fgura
Target entity description: Fgura is a densely populated town in the South Eastern Region of Malta, known for its residential character and proximity to the Grand Harbour area.
  • A. Faydi
    Faydi is a village located within the Shekhan District in the Kurdistan Region of northern Iraq.
  • B. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • C. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • D. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
  • E. Fygi
    Fygi is a Dutch jazz and pop singer known for her smooth vocal style and international solo career.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
NEDg Description generation batch_69dec255abb08190bf93573c41aa35e9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec7c48c3c81909365b901830f0906 completed April 14, 2026, 11:03 p.m.
Created at: April 8, 2026, 9:20 p.m.