Triple
T18060122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War of Castro |
E432148
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Castro
Castro is a historic town in the Lazio region of Italy, known for its destruction in the 17th century after a protracted conflict with the Papal States.
|
E1304341
|
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: Castro | Statement: [War of Castro, location, Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro Context triple: [War of Castro, location, Castro]
-
A.
Castro
Castro is a prominent Cuban family name most famously associated with revolutionary leaders Fidel and Raúl Castro.
-
B.
Castro
Castro was a popular Ghanaian hiplife and highlife musician known for his melodic collaborations and significant influence on contemporary Ghanaian music.
-
C.
Castro
Castro is a coastal town in Italy’s Apulia region, known for its historic hilltop center and scenic Adriatic Sea views.
-
D.
Castro
Castro is a vibrant San Francisco neighborhood known for its historic role as a center of LGBTQ+ culture and activism.
-
E.
Castro
Castro is a historic coastal city on Chiloé Island in southern Chile, known for its colorful stilt houses (palafitos) and UNESCO-listed wooden churches.
- 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: Castro Triple: [War of Castro, location, Castro]
Generated description
Castro is a historic town in the Lazio region of Italy, known for its destruction in the 17th century after a protracted conflict with the Papal States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castro Target entity description: Castro is a historic town in the Lazio region of Italy, known for its destruction in the 17th century after a protracted conflict with the Papal States.
-
A.
Castro
Castro is a coastal town in Italy’s Apulia region, known for its historic hilltop center and scenic Adriatic Sea views.
-
B.
Castro
Castro is a municipality located in the state of Paraná in southern Brazil, known for its agricultural production and Dutch immigrant heritage.
-
C.
Castro
Castro is a historic coastal city on Chiloé Island in southern Chile, known for its colorful stilt houses (palafitos) and UNESCO-listed wooden churches.
-
D.
Castro
Castro is a vibrant San Francisco neighborhood known for its historic role as a center of LGBTQ+ culture and activism.
-
E.
Castro
Castro is a prominent Cuban family name most famously associated with revolutionary leaders Fidel and Raúl Castro.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03566907988190aef2b0ceb2c9f4dc |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03591fa4cc819084d1e50b7e5263cf |
completed | May 12, 2026, 4:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0359a3ead48190996d95ad5aaa2302 |
completed | May 12, 2026, 4:47 p.m. |
Created at: April 10, 2026, 10:26 a.m.