Triple
T23148754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psalter Pahlavi |
E578263
|
entity |
| Predicate | usageExtent |
P134525
|
FINISHED |
| Object | very limited corpus |
—
|
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: very limited corpus | Statement: [Psalter Pahlavi, usageExtent, very limited corpus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usageExtent Context triple: [Psalter Pahlavi, usageExtent, very limited corpus]
-
A.
extent
chosen
Indicates the degree, scope, or magnitude to which a property, condition, or relationship holds.
-
B.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
-
C.
expandedUseOf
Indicates that something is being applied, implemented, or utilized more broadly or extensively than before.
-
D.
usageAmong
Indicates how frequently or in what manner something is used within a particular group, context, or population.
-
E.
availabilityScope
Indicates the extent or context within which something is available, accessible, or applicable.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecf9e9881908991ede784158f1e |
completed | April 29, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.