Triple

T16362363
Position Surface form Disambiguated ID Type / Status
Subject Al Hada cable car E397344 entity
Predicate near P350 FINISHED
Object Taif city E783554 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: Taif city | Statement: [Al Hada cable car, near, Taif city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taif city
Context triple: [Al Hada cable car, near, Taif city]
  • A. city of Taif chosen
    The city of Taif is a Saudi Arabian highland city known for its cool climate, rose cultivation, and historical significance as a summer resort.
  • B. 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.
  • C. Taiz
    Taiz is one of Yemen’s largest and historically most important cities, known as a cultural and intellectual center in the country.
  • D. Ha'il city
    Ha'il city is a major urban center in northwestern Saudi Arabia, known historically as a key stop on desert trade routes and today as the capital of the Ha'il Region.
  • E. 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.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff39f8308190865d024734992a76 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:08 a.m.