Triple
T37904418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Interstellar Colonies |
E945508
|
entity |
| Predicate | hasSymbolicGoal |
P189800
|
FINISHED |
| Object | revival of Spain as a major imperial power (fictional) |
—
|
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: revival of Spain as a major imperial power (fictional) | Statement: [Spanish Interstellar Colonies, hasSymbolicGoal, revival of Spain as a major imperial power (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolicGoal Context triple: [Spanish Interstellar Colonies, hasSymbolicGoal, revival of Spain as a major imperial power (fictional)]
-
A.
containsSymbolicAct
Indicates that one entity includes or incorporates a symbolic action or gesture associated with another entity.
-
B.
hasSymbolicForm
Indicates that one entity serves as the symbolic representation or abstract form of another entity.
-
C.
hasFormulationGoal
Indicates that an entity is associated with a specific formulation-related objective or intended outcome.
-
D.
hasInterpretiveGoal
Indicates that an entity is associated with a specific intended meaning, purpose, or objective guiding how something should be interpreted.
-
E.
hasGoalStructure
Indicates that an entity is associated with, or organized around, a specific goal-oriented structure or framework.
- 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_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.