Triple
T15154132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of the Navy of Spain |
E362025
|
entity |
| Predicate | hasOfficeHeldBy |
P67246
|
FINISHED |
| Object | Minister of the Navy of Spain |
—
|
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: Minister of the Navy of Spain | Statement: [Ministry of the Navy of Spain, hasOfficeHeldBy, Minister of the Navy of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeHeldBy Context triple: [Ministry of the Navy of Spain, hasOfficeHeldBy, Minister of the Navy of Spain]
-
A.
hasMemberWhoHeldOffice
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
B.
hasHistoricalOfficeHolder
chosen
Indicates that an office, position, or role has been held by a specific person at some point in the past.
-
C.
hasListOfOfficeHolders
Indicates that an entity is associated with a collection or record enumerating the individuals who have held a particular office or position.
-
D.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
-
E.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060b0cd08190afad14cffcc7d93f |
completed | April 15, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.