Triple
T6024587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parsa |
E134143
|
entity |
| Predicate | ethnicHomelandOf |
P38603
|
FINISHED |
| Object | Old Persian-speaking population |
—
|
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: Old Persian-speaking population | Statement: [Parsa, ethnicHomelandOf, Old Persian-speaking population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicHomelandOf Context triple: [Parsa, ethnicHomelandOf, Old Persian-speaking population]
-
A.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
originalHomeland
chosen
Indicates the place or region that is considered the ancestral or earliest homeland of an entity.
-
C.
countryOfDiaspora
Indicates the country in which a diaspora community originating from another place is located.
-
D.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
E.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbf048081908b0da0cf838730a5 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.