Triple
T11232098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup mascots series |
E265846
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object | Pique |
E306749
|
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: Pique | Statement: [FIFA World Cup mascots series, hasMascot, Pique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pique Context triple: [FIFA World Cup mascots series, hasMascot, Pique]
-
A.
Pique
chosen
Pique is the jalapeño pepper–shaped cartoon character who served as the official mascot of the 1986 FIFA World Cup in Mexico.
-
B.
Pichel
Pichel is a surname most notably associated with Irving Pichel, an American actor and film director active in early Hollywood cinema.
-
C.
Piripiri
Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
-
D.
Fiquet
Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
-
E.
Pique Longue
Pique Longue is the highest summit of the Vignemale massif in the central Pyrenees, straddling the border between France and Spain.
- 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.