Triple

T15890766
Position Surface form Disambiguated ID Type / Status
Subject Tbilisi City Hall E385311 entity
Predicate jurisdiction P82 FINISHED
Object City of Tbilisi E19766 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: City of Tbilisi | Statement: [Tbilisi City Hall, jurisdiction, City of Tbilisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Tbilisi
Context triple: [Tbilisi City Hall, jurisdiction, City of Tbilisi]
  • A. Tbilisi chosen
    Tbilisi is the largest city and cultural, political, and economic center of Georgia, located on the banks of the Kura River in the South Caucasus.
  • B. City of Kutaisi
    The City of Kutaisi is one of Georgia’s oldest and historically significant cities, known for its rich cultural heritage and landmarks such as the hilltop Bagrati Cathedral.
  • C. Old Tbilisi
    Old Tbilisi is the historic core of Georgia’s capital, known for its narrow cobblestone streets, traditional wooden balconies, sulfur baths, and diverse architectural heritage.
  • D. Mtskheta
    Mtskheta is an ancient town in central Georgia and a UNESCO World Heritage Site, renowned as one of the country’s oldest continuously inhabited cities and a historic center of Georgian Christianity.
  • E. Kabilasi
    Kabilasi is a municipality-level town located in southeastern Nepal’s Madhesh Province, near the border with India.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561e5ac481908ead7de3140c769d completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000777c6a08190a4deed9952179be5 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 4:51 a.m.