Triple
T37905256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Ice Empire |
E945527
|
entity |
| Predicate | hasImaginedCapitalType |
P16430
|
FINISHED |
| Object | icebound imperial capital |
—
|
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: icebound imperial capital | Statement: [Spanish Ice Empire, hasImaginedCapitalType, icebound imperial capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImaginedCapitalType Context triple: [Spanish Ice Empire, hasImaginedCapitalType, icebound imperial capital]
-
A.
hasCapitalType
chosen
Indicates that a specified location’s capital is of a particular type (e.g., political, administrative, or economic capital).
-
B.
hasImaginedFleetType
Indicates that an entity envisions or conceptually associates a particular type or category of fleet with another entity.
-
C.
hasImaginedIdentity
Indicates that an entity mentally constructs or adopts a non-actual identity, role, or persona for itself or another entity.
-
D.
hasFictionalBusinessType
Indicates that an entity is associated with a type or category of fictional business it operates or represents.
-
E.
hasCapitalFeature
Indicates that one entity possesses or is characterized by a primary or most important feature represented by the other 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:20 p.m.