Triple

T19511255
Position Surface form Disambiguated ID Type / Status
Subject Cairo Castle E488157 entity
Predicate hasViewOf P854 FINISHED
Object Taiz cityscape NE NERFINISHED

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: Taiz cityscape | Statement: [Cairo Castle, hasViewOf, Taiz cityscape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiz cityscape
Context triple: [Cairo Castle, hasViewOf, Taiz cityscape]
  • A. Taiz chosen
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • B. city of Taif
    The city of Taif is a Saudi Arabian highland city known for its cool climate, rose cultivation, and historical significance as a summer resort.
  • C. Al-Ghat city
    Al-Ghat city is a small historic town in central Saudi Arabia known for its traditional architecture, date farms, and location along ancient trade routes northwest of Riyadh.
  • D. Al-Tall city
    Al-Tall city is a Syrian urban center located just north of Damascus, known for its hillside setting and role as a local administrative and commercial hub.
  • E. Madinat ash Shamal
    Madinat ash Shamal is a small coastal city in northern Qatar that serves as the capital of the Al Shamal municipality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.