Triple
T1706999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulares |
E36893
|
entity |
| Predicate | historicalComposition |
P32486
|
FINISHED |
| Object | indigenous Moroccan soldiers |
—
|
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: indigenous Moroccan soldiers | Statement: [Regulares, historicalComposition, indigenous Moroccan soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalComposition Context triple: [Regulares, historicalComposition, indigenous Moroccan soldiers]
-
A.
historicalCompositionPlace
Indicates the place where something was originally created, composed, or produced in a historical context.
-
B.
historicalFormation
Indicates the process or circumstances through which something came into existence or took shape over time in history.
-
C.
historicalForm
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
D.
historicallyIn
Indicates that one entity existed, occurred, or was situated within the historical context, period, or jurisdiction associated with another entity.
-
E.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or context.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab75ac1408819086b22b3cd0672a79 |
completed | March 7, 2026, 12:47 a.m. |
Created at: March 4, 2026, 7:30 p.m.