Triple

T9316276
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince of Jordan E224128 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: [Crown Prince of Jordan, residence, Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amman
Context triple: [Crown Prince of Jordan, 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358846e48190a8aacfab19d88ae7 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7acba54819086da668f234321de completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.