Triple

T3980426
Position Surface form Disambiguated ID Type / Status
Subject Monastiraki Square E85742 entity
Predicate near P350 FINISHED
Object Psiri
Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
 E403270 NE FINISHED

How this triple was built (4 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 Square, near, Psiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Psiri
Context triple: [Monastiraki Square, near, Psiri]
  • A. 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.
  • B. Sirianni
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • C. Shapash
    Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
  • D. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • E. Siris
    Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Psiri
Triple: [Monastiraki Square, near, Psiri]
Generated description
Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Psiri
Target entity description: Psiri is a lively historic neighborhood in central Athens known for its vibrant nightlife, traditional tavernas, and artistic atmosphere.
  • A. 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.
  • B. Sirianni
    Sirianni is an Italian-origin surname borne by various individuals, including American football coach Nick Sirianni.
  • C. Shapash
    Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
  • D. Praxeas
    Praxeas was an early Christian theologian known for promoting a modalistic view of the Trinity that was later deemed heretical by mainstream church authorities.
  • E. Siris
    Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
  • F. None of above. chosen

Provenance (5 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9d9d8848190aa06eaf5d281fa16 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54021ae388190a9518ea85b760736 completed March 14, 2026, 11:01 a.m.
NEDg Description generation batch_69b541340dbc819081538517267f390f completed March 14, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69b54193105c81909e2a4e368aae36e8 completed March 14, 2026, 11:08 a.m.
Created at: March 9, 2026, 3:33 p.m.