Triple

T3699845
Position Surface form Disambiguated ID Type / Status
Subject Nisyros E78549 entity
Predicate hasVillage P4011 FINISHED
Object Mandraki E381008 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: Mandraki | Statement: [Nisyros, hasVillage, Mandraki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandraki
Context triple: [Nisyros, hasVillage, Mandraki]
  • A. Mandraki
    Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
  • B. Mandraki chosen
    Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
  • C. Mnajdra
    Mnajdra is an ancient megalithic temple complex on Malta’s southern coast, renowned for its prehistoric architecture and astronomical alignments.
  • D. Velia
    Velia was an important ancient Greek coastal city in Lucania, southern Italy, known for its role as a philosophical center of the Eleatic school.
  • E. Malax
    Malax is a small coastal municipality in western Finland known for its Swedish-speaking majority and rural Ostrobothnian landscapes.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc513d26c8190bfdf25f62af8c6ca completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db041370819084b04e46d95ca966 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:26 p.m.