Triple

T2933049
Position Surface form Disambiguated ID Type / Status
Subject Leros E79198 entity
Predicate hasSettlement P1068 FINISHED
Object Platanos E312660 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: Platanos | Statement: [Leros, hasSettlement, Platanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platanos
Context triple: [Leros, hasSettlement, Platanos]
  • A. Platanos chosen
    Platanos is the main town and administrative center of the Greek island of Leros in the Dodecanese.
  • B. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • C. Banana
    "Banana" is a comedic animated short film set in the Despicable Me universe, featuring the Minions in a slapstick adventure centered around their obsession with bananas.
  • D. Bananas
    Bananas is a 1971 satirical comedy film directed by and starring Woody Allen, known for its absurd political humor and farcical take on revolution in a fictional Latin American country.
  • E. Benincasa
    Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983a4ae08190aa1aeb2747abd1a1 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc6c2cc08190ab34973c3f33a34d completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:56 p.m.