Triple

T16471673
Position Surface form Disambiguated ID Type / Status
Subject Sasanian Iberia E400077 entity
Predicate hasCapital P204 FINISHED
Object Tiflis 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: Tiflis | Statement: [Sasanian Iberia, hasCapital, Tiflis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiflis
Context triple: [Sasanian Iberia, hasCapital, Tiflis]
  • 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. Batumi
    Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
  • C. Kabilasi
    Kabilasi is a municipality-level town located in southeastern Nepal’s Madhesh Province, near the border with India.
  • D. Tskhinvali
    Tskhinvali is the capital city of the breakaway region of South Ossetia in the South Caucasus, serving as its political and administrative center.
  • E. Vladikavkaz
    Vladikavkaz is a major city in the North Caucasus region of Russia, serving as the capital of the Republic of North Ossetia–Alania and an important cultural and industrial center.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed25bcc819090ccca4705e4e24f completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:11 a.m.