Triple

T16048483
Position Surface form Disambiguated ID Type / Status
Subject Elia Beach E389285 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Ano Mera E355855 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: Ano Mera | Statement: [Elia Beach, hasNearbySettlement, Ano Mera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ano Mera
Context triple: [Elia Beach, hasNearbySettlement, Ano Mera]
  • A. Ano Mera chosen
    Ano Mera is a traditional inland village on the Greek island of Mykonos, known for its quieter atmosphere, central square, and historic Panagia Tourliani monastery.
  • B. Nini
    Nini is a supporting character in *Moulin Rouge! The Musical*, portrayed as one of the club’s dancers and a confidante within the bohemian world of the Moulin Rouge.
  • C. Nini
    Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
  • D. Jeena
    Jeena is the central protagonist of the Indian television series "Good Vibes."
  • E. Anbe Vaa
    Anbe Vaa is a classic 1966 Tamil romantic comedy film starring M. G. Ramachandran and Saroja Devi, celebrated for its music, humor, and enduring popularity in Tamil cinema.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18360464881909fd4d3bcb4ffb7f5 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbddc25481908fca660c4f14eaff completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.