Triple

T14210144
Position Surface form Disambiguated ID Type / Status
Subject Dísz Square E352206 entity
Predicate adjacentTo P224 FINISHED
Object Palota út E1081673 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: Palota út | Statement: [Dísz Square, adjacentTo, Palota út]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palota út
Context triple: [Dísz Square, adjacentTo, Palota út]
  • A. Palotanegyed chosen
    Palotanegyed is a historic inner-city neighborhood of Budapest known for its 19th-century palaces, grand boulevards, and cultural institutions.
  • B. Tále
    Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
  • C. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • D. Polkemmet
    Polkemmet is a locality in Scotland best known for the former Polkemmet Country Park and its historic estate grounds.
  • E. Pujalt
    Pujalt is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural landscape and historical heritage.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19557f908190abb3dc116676f215 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.