Triple

T13064547
Position Surface form Disambiguated ID Type / Status
Subject Rabat E329285 entity
Predicate hasLandmark P105 FINISHED
Object Hassan Tower E49659 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: Hassan Tower | Statement: [Rabat, hasLandmark, Hassan Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hassan Tower
Context triple: [Rabat, hasLandmark, Hassan Tower]
  • A. Hassan Tower chosen
    Hassan Tower is an unfinished 12th-century minaret and iconic historical monument in Rabat, Morocco, originally intended to be the world’s largest mosque.
  • B. Malwiya Minaret
    Malwiya Minaret is the famous spiraling, cone-shaped minaret of the Great Mosque of Samarra in Iraq, renowned as an iconic example of early Islamic architecture.
  • C. Al Jalali Fort
    Al Jalali Fort is a historic coastal fortress in Muscat, Oman, built by the Portuguese in the 16th century and now a prominent symbol of the city's heritage.
  • D. Milad Tower
    Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e9bdfc81908eb90fb50597df64 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe630808190a9a3481127bbaa86 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:59 p.m.