Triple
T14560138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorstenieae |
E341644
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Castilla |
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 | Statement: [Dorstenieae, includesGenus, Castilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castilla Context triple: [Dorstenieae, includesGenus, Castilla]
-
A.
Castilla
Castilla was a 19th-century Spanish wooden-hulled armored frigate that served in the Spanish Navy’s Pacific operations.
-
B.
Castilla
Castilla is the reserve team of Real Madrid CF, competing in Spain’s lower professional divisions and serving as a development squad for the club’s young talents.
-
C.
Castilla
Castilla is a Spanish surname of likely toponymic origin, associated with the historical region of Castile in Spain.
-
D.
Castilla
Castilla is a residential and commercial neighborhood in Madrid, Spain, known for its mix of modern developments and traditional urban character.
-
E.
Castilla
chosen
Castilla is a genus of tropical American trees in the mulberry family, best known for species that produce natural rubber.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb389d0f48190a1d9d69456d1cbe1 |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94b1760481909119db555fd05429 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.