Triple

T10836256
Position Surface form Disambiguated ID Type / Status
Subject Ray E255763 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Toghrol Tower E829863 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: Toghrol Tower | Statement: [Ray, hasNearbyLandmark, Toghrol Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toghrol Tower
Context triple: [Ray, hasNearbyLandmark, Toghrol Tower]
  • A. Toghrol Tower chosen
    Toghrol Tower is a 12th-century Seljuk-era brick tomb tower and architectural landmark located in Rey, near Tehran, Iran.
  • B. Kutafya Tower
    Kutafya Tower is a historic 16th-century barbican tower of the Moscow Kremlin, known for guarding the main entrance and serving as a key defensive outwork of the fortress.
  • C. Atakule Tower
    Atakule Tower is a prominent communications and observation tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
  • D. Oruzheinaya Tower
    Oruzheinaya Tower is one of the historic defensive and architectural towers of the Moscow Kremlin, notable for its role in protecting the Kremlin’s armory complex.
  • E. Halebija tower
    Halebija Tower is a historic stone fortification in Mostar, Bosnia and Herzegovina, that forms part of the defensive complex surrounding the city’s iconic Old Bridge.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.