Triple

T6872292
Position Surface form Disambiguated ID Type / Status
Subject Prince Hassan bin Talal E158577 entity
Predicate residence P75 FINISHED
Object Amman E15311 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: Amman | Statement: [Prince Hassan bin Talal, residence, Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amman
Context triple: [Prince Hassan bin Talal, residence, Amman]
  • A. Amman chosen
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • B. Irbid
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • C. Ma’an
    Ma’an is a major city in southern Jordan that serves as an important regional hub and gateway to nearby desert and archaeological sites.
  • D. Mafraq
    Mafraq is a city in northern Jordan that serves as a strategic transport hub and gateway to the Syrian border and surrounding desert regions.
  • E. Aqaba
    Aqaba is Jordan’s only coastal city, a key Red Sea port and popular resort destination known for its beaches, coral reefs, and strategic location near the borders with Israel, Egypt, and Saudi Arabia.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8ac04e08190aa8011c0ade9d509 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c0689081908d37d1530ed0f6a0 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.