Triple
T1192081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Persian |
E25383
|
entity |
| Predicate | mainSource |
P2296
|
FINISHED |
| Object | royal inscriptions |
—
|
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: royal inscriptions | Statement: [Old Persian, mainSource, royal inscriptions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSource Context triple: [Old Persian, mainSource, royal inscriptions]
-
A.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
C.
mainSingle
Indicates that an entity is the primary or sole main instance among a set of related entities.
-
D.
primarySources
chosen
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
E.
mainIndex
Indicates that one entity serves as the primary or central index or reference point for another entity within a structured system.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd74e2c08190b4a48425f94addaa |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.