Triple
T10589479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naranjas de Villa Clara |
E249944
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Naranjas
Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
|
E872155
|
NE FINISHED |
How this triple was built (4 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: Naranjas | Statement: [Naranjas de Villa Clara, hasNickname, Naranjas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naranjas Context triple: [Naranjas de Villa Clara, hasNickname, Naranjas]
-
A.
Cítricos
Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
-
B.
Naranjito
Naranjito is a municipality located in the central region of Puerto Rico, known for its mountainous terrain and agricultural traditions.
-
C.
Naranjito
Naranjito is the smiling orange cartoon character that served as the official mascot of the 1982 FIFA World Cup held in Spain.
-
D.
Entre naranjos
Entre naranjos is a Spanish novel by Vicente Blasco Ibáñez that portrays love, ambition, and social tensions set against the orange-growing landscapes of Valencia.
-
E.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naranjas Triple: [Naranjas de Villa Clara, hasNickname, Naranjas]
Generated description
Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naranjas Target entity description: Naranjas is a Cuban baseball team nickname associated with the Villa Clara Naranjas of the Cuban National Series.
-
A.
Cítricos
Cítricos is an upscale, Mediterranean-inspired restaurant located at Disney’s Grand Floridian Resort & Spa in Walt Disney World.
-
B.
Naranjito
Naranjito is a municipality located in the central region of Puerto Rico, known for its mountainous terrain and agricultural traditions.
-
C.
Naranjito
Naranjito is the smiling orange cartoon character that served as the official mascot of the 1982 FIFA World Cup held in Spain.
-
D.
Entre naranjos
Entre naranjos is a Spanish novel by Vicente Blasco Ibáñez that portrays love, ambition, and social tensions set against the orange-growing landscapes of Valencia.
-
E.
Grapefruit
Grapefruit is Yoko Ono’s influential 1964 conceptual art book of event scores and instructions that helped shape the development of Fluxus and conceptual art.
- F. None of above. chosen
Provenance (5 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277a39f08190848f24752cfa4b8f |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b9440548190bff01847a940266b |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94ca13550819085b7824d8b5131e7 |
completed | April 10, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9518517608190b5036694b83f5f58 |
completed | April 10, 2026, 7:37 p.m. |
Created at: April 6, 2026, 12:40 p.m.