Triple
T14270965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levante UD |
E353780
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Granotas |
E353781
|
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: Granotas | Statement: [Levante UD, nickname, Granotas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granotas Context triple: [Levante UD, nickname, Granotas]
-
A.
Granotas
chosen
Granotas is the popular nickname for Levante UD, a Spanish football club based in Valencia.
-
B.
Gringos
Gringos is a darkly comic novel by Charles Portis that follows an American expatriate and tomb raider entangled in eccentric adventures in Mexico.
-
C.
Marquitos
Marquitos is a Spanish diminutive form of the given name Marcos, often used as an affectionate nickname.
-
D.
Bukaneros
Bukaneros is an ultra fan group known for its passionate, left-wing, and anti-fascist support of Spanish football club Rayo Vallecano.
-
E.
Guasa Guasa
"Guasa Guasa" is a popular reggaeton track by Puerto Rican rapper Tego Calderón that helped establish his distinctive style in the Latin urban music scene.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de65811d7c8190b075909a6570d415 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326a5aec8190b139a0c49fd43705 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.