Triple

T11739231
Position Surface form Disambiguated ID Type / Status
Subject Athens metropolitan area E279108 entity
Predicate hasPart P35 FINISHED
Object Alimos E235181 NE FINISHED

How this triple was built (2 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: Alimos | Statement: [Athens metropolitan area, hasPart, Alimos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alimos
Context triple: [Athens metropolitan area, hasPart, Alimos]
  • A. Alimos chosen
    Alimos is a coastal suburb in the southern part of Athens, Greece, known for its marina and beaches along the Saronic Gulf.
  • B. Alis
    Alis is a given name that can function as a variant of Alice or a distinct personal name in various cultures.
  • C. Almatti
    Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
  • D. Amaala
    Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
  • E. Ammannati
    Ammannati was a prominent Italian Mannerist sculptor and architect of the 16th century, best known for works such as the Fountain of Neptune in Florence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019c339cc81909967ecfa234e4ab8 completed April 28, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:41 p.m.