Triple

T3980302
Position Surface form Disambiguated ID Type / Status
Subject King George Hotel E85739 entity
Predicate near P350 FINISHED
Object Plaka neighborhood E90204 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: Plaka neighborhood | Statement: [King George Hotel, near, Plaka neighborhood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plaka neighborhood
Context triple: [King George Hotel, near, Plaka neighborhood]
  • A. Plaka neighborhood chosen
    Plaka neighborhood is a historic district in Athens known for its neoclassical architecture, narrow streets, and lively tavernas at the foot of the Acropolis.
  • B. Kalorama neighborhood
    Kalorama neighborhood is an affluent, historic residential area in Northwest Washington, D.C., known for its embassies, stately homes, and prominent political residents.
  • C. Roda neighborhood
    Roda neighborhood is a residential and cultural district located on Roda Island in Cairo, Egypt, known for its historic sites and Nile-side setting.
  • D. Lafiaji neighborhood
    Lafiaji neighborhood is a historic residential area on Lagos Island in Lagos, Nigeria, known for its dense urban fabric and vibrant local commerce.
  • E. Roxana neighborhood
    Roxana neighborhood is a residential and industrial community within East Chicago, Indiana, historically shaped by nearby steel and refinery operations.
  • 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_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.
Created at: March 9, 2026, 3:33 p.m.