Triple
T5714465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Es Castell |
E125988
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object |
Villacarlos
Villacarlos is the former name of Es Castell, a coastal town on the island of Menorca in Spain known for its natural harbor and military history.
|
E539819
|
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: Villacarlos | Statement: [Es Castell, hasHistoricalName, Villacarlos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villacarlos Context triple: [Es Castell, hasHistoricalName, Villacarlos]
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Bustamante
Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
-
C.
Juárez
Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
-
D.
Al Olaya
Al Olaya is a prominent commercial and business district in Riyadh, Saudi Arabia, known for its modern skyscrapers, upscale shopping, and major corporate offices.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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: Villacarlos Triple: [Es Castell, hasHistoricalName, Villacarlos]
Generated description
Villacarlos is the former name of Es Castell, a coastal town on the island of Menorca in Spain known for its natural harbor and military history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villacarlos Target entity description: Villacarlos is the former name of Es Castell, a coastal town on the island of Menorca in Spain known for its natural harbor and military history.
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Bustamante
Bustamante is a Spanish-origin surname borne by numerous notable figures in politics, arts, and sports across the Spanish-speaking world.
-
C.
Juárez
Juárez is a major Mexican border city in the state of Chihuahua, located across the Rio Grande from El Paso, Texas, and known for its manufacturing industry and strategic trade position.
-
D.
Al Olaya
Al Olaya is a prominent commercial and business district in Riyadh, Saudi Arabia, known for its modern skyscrapers, upscale shopping, and major corporate offices.
-
E.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b6c7c8819095a92f2ccede1197 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a77d6b081908db6e64c5a361282 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c75179c819085bf56340363b48c |
completed | March 22, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2b67888190bc89e4cbd384c15f |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:46 p.m.