Triple
T343786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siete Leyes |
E6893
|
entity |
| Predicate | establishedSystem |
P12092
|
FINISHED |
| Object | centralist system |
—
|
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: centralist system | Statement: [Siete Leyes, establishedSystem, centralist system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedSystem Context triple: [Siete Leyes, establishedSystem, centralist system]
-
A.
system
Indicates that an entity functions as or belongs to a structured, organized set of components or processes that operate together as a system.
-
B.
usedBySystem
Indicates that something is utilized or operated by a particular system.
-
C.
notableSystem
Indicates that a system is recognized as significant, prominent, or noteworthy in a particular context or domain.
-
D.
operatesSystem
Indicates that an entity actively controls, manages, or runs a particular system.
-
E.
operatingSystem
Indicates that one entity is the operating system running on, or used by, another entity.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0019088190a9b969c4287dc4fa |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e9530c98819085025efe4e04aa7e |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0a4c448190a8a179daa9b90645 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.