Triple
T31584536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atropatene |
E805919
|
entity |
| Predicate | regionNamePreservedIn |
P197417
|
FINISHED |
| Object | Middle Persian Adurbadagan |
—
|
NE NERFINISHED |
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: Middle Persian Adurbadagan | Statement: [Atropatene, regionNamePreservedIn, Middle Persian Adurbadagan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionNamePreservedIn Context triple: [Atropatene, regionNamePreservedIn, Middle Persian Adurbadagan]
-
A.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
B.
regionNameUsedFor
Indicates that a particular region name is used to refer to or designate a specific region or area.
-
C.
regionNamedAfter
Indicates that a geographic region derives its name from a specific person, place, event, or other entity.
-
D.
regionNameCreated
Indicates that a specific region was created with the given name.
-
E.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
- 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_69f348d4891c8190b02bae3c8ecb68b7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe91383a1c81909266e40c3c3ede6c |
completed | May 9, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69fe8fde094081908f0f121664fbb5c7 |
completed | May 9, 2026, 1:37 a.m. |
| PDg | Predicate description generation | batch_69fe9137730c81909d1d57c30566c89a |
completed | May 9, 2026, 1:43 a.m. |
Created at: April 30, 2026, 10:25 p.m.