Triple
T12990301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Etame Mayer |
E321884
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | RCD Mallorca |
E328715
|
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: RCD Mallorca | Statement: [Lauren Etame Mayer, playedFor, RCD Mallorca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCD Mallorca Context triple: [Lauren Etame Mayer, playedFor, RCD Mallorca]
-
A.
RCD Mallorca
chosen
RCD Mallorca is a Spanish professional football club based in Palma de Mallorca that competes in La Liga.
-
B.
Barceló
Barceló is a Spanish surname most notably associated with contemporary artist Miquel Barceló.
-
C.
Valmadrid
Valmadrid is a small municipality in the province of Zaragoza, Aragon, Spain, situated within the semi-arid landscapes characteristic of the Campo de Belchite region.
-
D.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
E.
Playa Colora
Playa Colora is a secluded, reddish-sand beach in Fajardo, Puerto Rico, known for its natural beauty and relatively undeveloped shoreline.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fca5e4819086b010fdd1813419 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:43 p.m.