Triple
T5820530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santísima Trinidad |
E129094
|
entity |
| Predicate | sankLocation |
P3148
|
FINISHED |
| Object | off the coast of Cádiz |
—
|
LITERAL 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: off the coast of Cádiz | Statement: [Santísima Trinidad, sankLocation, off the coast of Cádiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sankLocation Context triple: [Santísima Trinidad, sankLocation, off the coast of Cádiz]
-
A.
placeOfSinking
chosen
Indicates the location where an object or entity sank or was submerged.
-
B.
sunkBy
Indicates that one entity (typically a vessel or structure) was caused to sink or be destroyed in water by another entity.
-
C.
locationOfTorpedoAttack
Indicates the place where a torpedo attack occurred or was carried out.
-
D.
sankOn
Indicates that one entity moved downward and became submerged or lower in level relative to another entity or reference point.
-
E.
sunkDuring
Indicates that one entity was sunk in the course of, or as a result of, the event or time period represented by another entity.
- F. None of above.
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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0333fdd7081908d829265caa2ac11 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.