Triple
T37904923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Macroverse Empire |
E945519
|
entity |
| Predicate | usesHistoricalAnalogue |
P189601
|
FINISHED |
| Object | Age of Discovery |
—
|
NE NERFINISHED |
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: Age of Discovery | Statement: [Spanish Macroverse Empire, usesHistoricalAnalogue, Age of Discovery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHistoricalAnalogue Context triple: [Spanish Macroverse Empire, usesHistoricalAnalogue, Age of Discovery]
-
A.
usesHistoricalAnalysis
Indicates that an entity employs historical analysis as a method or approach to understand, evaluate, or explain something.
-
B.
historicalComparison
Indicates a relationship where one entity is evaluated or contrasted with another in terms of their characteristics, significance, or context across different historical periods.
-
C.
isHistoric
Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
-
D.
hasPrimaryUseHistoric
Indicates that something is primarily used for historic or heritage-related purposes.
-
E.
followsHistoricalFeature
Indicates that one entity’s position, path, or alignment is determined by or closely tracks the course of a pre-existing historical feature (such as an old road, boundary, or structure).
- 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_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:20 p.m.