Triple
T16096225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Navy |
E390490
|
entity |
| Predicate | trainingLocation |
P40
|
FINISHED |
| Object |
Carida
Carida is a prominent Imperial military academy world in the Star Wars universe, known for rigorously training stormtroopers and naval officers.
|
E1197880
|
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: Carida | Statement: [Imperial Navy, trainingLocation, Carida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carida Context triple: [Imperial Navy, trainingLocation, Carida]
-
A.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
-
B.
Corisande
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
-
C.
Kamarina
Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
-
D.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
E.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
- 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: Carida Triple: [Imperial Navy, trainingLocation, Carida]
Generated description
Carida is a prominent Imperial military academy world in the Star Wars universe, known for rigorously training stormtroopers and naval officers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carida Target entity description: Carida is a prominent Imperial military academy world in the Star Wars universe, known for rigorously training stormtroopers and naval officers.
-
A.
Laviana
Laviana is a municipality in the Asturias region of northern Spain, situated in the Nalón River valley and known for its mining heritage and mountainous surroundings.
-
B.
Corisande
Corisande is a noble lady and love interest in the medieval chivalric romance cycle "Amadis de Gaula."
-
C.
Kamarina
Kamarina is a modern settlement in the Epirus region of northwestern Greece, located near the archaeological site of ancient Cassope.
-
D.
Arycanda
Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
-
E.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e18593d0fc8190aa3ba3edb4219aaa |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79a96d08190af69cbb18037f66e |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff86a556c819096bc008e1ca76e8c |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff926120081909f1042bf3a16ea10 |
completed | May 10, 2026, 3:19 a.m. |
Created at: April 10, 2026, 4:59 a.m.