Triple

T16362109
Position Surface form Disambiguated ID Type / Status
Subject Al-Hussein SC (Irbid) E397337 entity
Predicate representsCity P2580 FINISHED
Object Irbid E87274 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: Irbid | Statement: [Al-Hussein SC (Irbid), representsCity, Irbid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irbid
Context triple: [Al-Hussein SC (Irbid), representsCity, Irbid]
  • A. Irbid chosen
    Irbid is a large city in northern Jordan known as an important economic, educational, and cultural center.
  • B. Irbid Governorate
    Irbid Governorate is a populous administrative region in northern Jordan known for its agricultural productivity and the major city of Irbid as its capital.
  • C. Amman
    Amman is the capital and largest city of Jordan, serving as a major political, economic, and cultural center in the Arab world.
  • D. Amman
    Amman is a revered Hindu mother goddess figure, widely worshipped in South India as a protective and benevolent divine mother.
  • E. Al-Karak
    Al-Karak is a historic Jordanian city best known for its imposing Crusader-era hilltop castle overlooking the surrounding region.
  • 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_6a00758847948190b616cc85e208ee61 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:08 a.m.