Triple
T3639622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castilla |
E77154
|
entity |
| Predicate | hasSpecies |
P965
|
FINISHED |
| Object | Castilla tunu |
E77154
|
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: Castilla tunu | Statement: [Castilla, hasSpecies, Castilla tunu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castilla tunu Context triple: [Castilla, hasSpecies, Castilla tunu]
-
A.
Azaña
Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
-
B.
Castilleja de la Cuesta, Crown of Castile
Castilleja de la Cuesta, in the former Crown of Castile, is a town near Seville in southern Spain historically noted as the place where conquistador Hernán Cortés died.
-
C.
Es Castell
Es Castell is a coastal town and municipality on the eastern tip of the Spanish island of Menorca, known for its historic military heritage and picturesque harbor.
-
D.
Castilla
chosen
Castilla is a genus of tropical American trees in the mulberry family, best known for species that produce natural rubber.
-
E.
Castro Marim
Castro Marim is a town and municipality in Portugal’s Algarve region, near the Spanish border, known for its historic castle and salt marshes.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc32b83188190bfc0ed4dc8f66730 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f2a8a5c8190b84dcf4b4b8a939e |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:24 p.m.