Triple

T10093789
Position Surface form Disambiguated ID Type / Status
Subject Avas district E215810 entity
Predicate hasLandmark P105 FINISHED
Object Avas TV Tower E215784 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: Avas TV Tower | Statement: [Avas district, hasLandmark, Avas TV Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avas TV Tower
Context triple: [Avas district, hasLandmark, Avas TV Tower]
  • A. Avas TV Tower chosen
    Avas TV Tower is a prominent television and observation tower in Miskolc, Hungary, known for its panoramic views over the city and surrounding region.
  • B. Gerecse TV tower
    Gerecse TV tower is a prominent telecommunications and observation tower located on the Gerecse mountain near Tatabánya in Hungary.
  • C. Eurasia Tower
    Eurasia Tower is a prominent mixed-use skyscraper in Moscow known for its distinctive design and significant height within the city’s modern business district skyline.
  • D. Bayterek Tower
    Bayterek Tower is a distinctive observation tower and symbol of Kazakhstan’s capital, representing a mythic tree of life and offering panoramic views of Astana.
  • E. Uli Biaho Tower
    Uli Biaho Tower is a dramatic granite spire in Pakistan’s Karakoram range, renowned among elite climbers for its extreme technical difficulty and sheer rock walls.
  • 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05da3688190b7a1ac8a58e5488f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e591be44819094623fd11f6fccdb completed April 5, 2026, 10:43 p.m.
Created at: March 30, 2026, 9:01 p.m.