Triple
T21683748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Edmonton |
E535176
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Fath Group |
—
|
NE NERFINISHED |
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: Fath Group | Statement: [FC Edmonton, ownedBy, Fath Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fath Group Context triple: [FC Edmonton, ownedBy, Fath Group]
-
A.
Fath Group
chosen
Fath Group is a Canadian business conglomerate best known in sports for owning the professional soccer club FC Edmonton.
-
B.
Ittefaq Group
Ittefaq Group is a major Pakistani industrial conglomerate, best known for its steel and engineering businesses and its association with the Sharif family.
-
C.
Meydan Group
Meydan Group is a Dubai-based development and hospitality company best known for creating and managing the Meydan Racecourse and surrounding mixed-use leisure and business destinations.
-
D.
Olayan Group
Olayan Group is a Saudi-based multinational conglomerate with diversified investments across sectors such as finance, real estate, and consumer goods, with significant holdings in both the Middle East and international markets.
-
E.
Al Mana Group
Al Mana Group is a Qatar-based conglomerate involved in diverse sectors such as retail, real estate, automotive, and hospitality across the Middle East and beyond.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96c943888190acd783ce8677087c |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:43 p.m.