Triple

T5518667
Position Surface form Disambiguated ID Type / Status
Subject King Talal E144748 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: [King Talal, residence, Amman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amman
Context triple: [King 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. 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.
  • D. 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.
  • E. Aleppo
    Aleppo is an ancient and historically significant city in northern Syria, renowned for its rich cultural heritage, medieval architecture, and role as a major trading hub along the Silk Road.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6eb604819092e9b2207dc741a9 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e57ed88190b2ff3245226851d1 completed March 22, 2026, 5:33 p.m.
Created at: March 22, 2026, 3:33 p.m.