Triple
T11476768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zico |
E272041
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object | Al-Gharafa SC |
E395328
|
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: Al-Gharafa SC | Statement: [Zico, managedTeam, Al-Gharafa SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Gharafa SC Context triple: [Zico, managedTeam, Al-Gharafa SC]
-
A.
Al Gharafa SC
chosen
Al Gharafa SC is a professional football club based in Qatar that competes in the country’s top-tier league and is known for its domestic success.
-
B.
Al Wakrah SC
Al Wakrah SC is a professional football club from Al Wakrah, Qatar, known for competing in the country’s top-tier league and having a long-standing presence in Qatari football.
-
C.
Al Wahda FC
Al Wahda FC is a professional football club based in Abu Dhabi, United Arab Emirates, known as one of the country's prominent teams.
-
D.
Al Sailiya SC
Al Sailiya SC is a professional football club based in Al Sailiya, Qatar, known for competing in the country’s top-tier league system.
-
E.
Al Wasl FC
Al Wasl FC is a professional football club based in Dubai, United Arab Emirates, known as one of the country’s most successful and popular teams.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e965eebc8190822247b1abc13483 |
completed | April 20, 2026, 8:52 a.m. |
Created at: April 8, 2026, 9:36 p.m.