Triple

T14036998
Position Surface form Disambiguated ID Type / Status
Subject Monastiraki station E337737 entity
Predicate locatedNear P294 FINISHED
Object Psiri E403270 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: Psiri | Statement: [Monastiraki station, locatedNear, Psiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Psiri
Context triple: [Monastiraki station, locatedNear, Psiri]
  • A. Psiri chosen
    Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
  • B. Psieas
    Psieas is an ancient figure known primarily from the archaeological site and funerary monument referred to as the Tomb of Psieas.
  • C. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • D. Pemphredo
    Pemphredo is one of the three Graeae sisters from Greek mythology, ancient sea deities who shared a single eye and tooth among them.
  • E. Sirianni
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33bc20081909abea7e64d1bd578 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.