Triple
T37904306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Space Colonies |
E945506
|
entity |
| Predicate | extendsLegacyOf |
P3637
|
FINISHED |
| Object | Spanish Empire |
—
|
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: Spanish Empire | Statement: [Spanish Space Colonies, extendsLegacyOf, Spanish Empire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: extendsLegacyOf Context triple: [Spanish Space Colonies, extendsLegacyOf, Spanish Empire]
-
A.
usesLegacyOf
Indicates that one entity makes use of, builds upon, or derives benefit from the historical work, reputation, or established influence of another entity.
-
B.
managedLegacyOf
Indicates that one entity was responsible for overseeing, preserving, or directing the continuation and impact of another entity’s legacy.
-
C.
hasLegacy
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
D.
honoursLegacyOf
Indicates that one entity actively preserves, respects, or celebrates the memory, values, or achievements of another entity from the past.
-
E.
historicallyExtendedBy
chosen
Indicates that something has been continued, expanded, or carried forward over time by another, later entity or development.
- 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_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.