Triple
T10650183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Sport Emelec |
E250944
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | El Bombillo |
E250944
|
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: El Bombillo | Statement: [Club Sport Emelec, hasNickname, El Bombillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Bombillo Context triple: [Club Sport Emelec, hasNickname, El Bombillo]
-
A.
El Bombillo
chosen
El Bombillo is the popular nickname of Ecuadorian football club Club Sport Emelec, one of the country's most successful and historic teams.
-
B.
Las Bombas
Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
-
C.
El Boquerón
El Boquerón is the prominent volcanic crater and surrounding national park located on the San Salvador Volcano in El Salvador.
-
D.
La Bomba
La Bomba is the famous nickname of Spanish basketball legend Juan Carlos Navarro, renowned for his explosive scoring and clutch shooting.
-
E.
El Rodadero
El Rodadero is a popular tourist beach and resort area near Santa Marta on Colombia’s Caribbean coast, known for its lively atmosphere, hotels, and waterfront activities.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a69a57c81908bf99cac0c0a49f2 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:06 p.m.