Triple
T15204904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farnese family |
E363363
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Castro |
E943379
|
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: Castro | Statement: [Farnese family, associatedWithPlace, Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castro Context triple: [Farnese family, associatedWithPlace, Castro]
-
A.
Castro
Castro was a popular Ghanaian hiplife and highlife musician known for his melodic collaborations and significant influence on contemporary Ghanaian music.
-
B.
Castro
Castro is a prominent Cuban family name most famously associated with revolutionary leaders Fidel and Raúl Castro.
-
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 municipality located in the state of Paraná in southern Brazil, known for its agricultural production and Dutch immigrant heritage.
-
E.
Castro
chosen
Castro is a coastal town in Italy’s Apulia region, known for its historic hilltop center and scenic Adriatic Sea views.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b7964c8190bc8dc3444b94f15e |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33b911c8190815341a342a8d3c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:11 a.m.