Triple
T37904925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Macroverse Empire |
E945519
|
entity |
| Predicate | hasImaginedFleetType |
P192468
|
FINISHED |
| Object | interdimensional armada |
—
|
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: interdimensional armada | Statement: [Spanish Macroverse Empire, hasImaginedFleetType, interdimensional armada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImaginedFleetType Context triple: [Spanish Macroverse Empire, hasImaginedFleetType, interdimensional armada]
-
A.
usesFleetOf
Indicates that one entity operates or relies on a group of vehicles, vessels, or similar assets collectively as a fleet to perform its activities or services.
-
B.
formerFleetType
Indicates that an entity previously belonged to or operated as a specified type of fleet, but no longer does so.
-
C.
targetFleetType
Indicates the specific category or classification of fleet that is the intended focus or recipient of an action or relationship.
-
D.
hadBasedAircraftType
Indicates that a particular type of aircraft was stationed at or operated from a specific base or location.
-
E.
hasFlyingUnit
Indicates that an entity possesses or is associated with a unit capable of flight.
- F. None of above. chosen
Provenance (4 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: May 3, 2026, 4:20 p.m.