Triple

T16427818
Position Surface form Disambiguated ID Type / Status
Subject Al-Arabi SC (Irbid) E398988 entity
Predicate associationFootballClubIn P122741 FINISHED
Object Jordan E11658 NE FINISHED

How this triple was built (3 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: Jordan | Statement: [Al-Arabi SC (Irbid), associationFootballClubIn, Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordan
Context triple: [Al-Arabi SC (Irbid), associationFootballClubIn, Jordan]
  • A. Jordan
    Jordan is a scientist known for formally describing the bacterial genus Bradyrhizobium.
  • B. Jordan
    "Jordan" is a song featured on Emmylou Harris's bluegrass-influenced album "Roses in the Snow."
  • C. Jordan chosen
    Jordan is a Middle Eastern country located at the crossroads of Asia, Africa, and Europe, known for its ancient archaeological sites like Petra and its strategic political role in the region.
  • D. Jordan
    Jordan is a common given name used by people of all genders in many English-speaking and other countries.
  • E. Jordan
    Jordan was a Formula One racing team and constructor known for launching the careers of several top drivers and competing in the sport during the 1990s and early 2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associationFootballClubIn
Context triple: [Al-Arabi SC (Irbid), associationFootballClubIn, Jordan]
  • A. associationFootballClub
    Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
  • B. associationFootballTeamOf
    Indicates that one entity is the association football (soccer) team to which the other entity belongs or is affiliated.
  • C. associatedWithFootballClub
    Indicates that there is a relationship of affiliation or connection between an entity and a football club.
  • D. associatedClubShortName
    Indicates that there is a relationship linking an entity to the abbreviated or short name of a club with which it is associated.
  • E. nearFootballClub
    Indicates that one entity is located close to, or in the immediate vicinity of, a football club.
  • F. None of above. chosen

Provenance (5 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
PD Predicate disambiguation batch_69e22701d2288190bf8676050758f172 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24556c1348190902a4d116c3137d9 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:09 a.m.