Triple
T11232109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup mascots series |
E265846
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | La’eeb |
E348174
|
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: La’eeb | Statement: [FIFA World Cup mascots series, hasMascot, La’eeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La’eeb Context triple: [FIFA World Cup mascots series, hasMascot, La’eeb]
-
A.
Laʼeeb
chosen
Laʼeeb is the animated, turban-like character that served as the official mascot of the 2022 FIFA World Cup in Qatar.
-
B.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
-
C.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
D.
Syal
Syal is the surname of Meera Syal, a prominent British-Indian comedian, writer, playwright, and actress known for her work in television, film, and literature.
-
E.
Zeeba
Zeeba is a Brazilian singer-songwriter and producer best known for his vocal collaborations on international electronic dance music hits.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad49b5cc8190b99cb2cd8de72109 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.