Triple
T112747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judeo-Arabic |
E2282
|
entity |
| Predicate | historicalUsage |
P3656
|
FINISHED |
| Object | medieval period |
—
|
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: medieval period | Statement: [Judeo-Arabic, historicalUsage, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalUsage Context triple: [Judeo-Arabic, historicalUsage, medieval period]
-
A.
historicalPeriodOfUse
chosen
Indicates the time period during which something was in active use or commonly utilized.
-
B.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
-
C.
historicalDSTUsage
Indicates that there was a period in the past when the entity or location observed daylight saving time, even if it may not do so currently.
-
D.
historicalFunction
Indicates the role, purpose, or activity an entity had during a past period or in a historical context.
-
E.
historicalAssessment
Indicates an evaluation or judgment of something based on its historical context, significance, or development over time.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256425a488190959d71e39e699d90 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.