Triple
T5460494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Persian cuneiform |
E122581
|
entity |
| Predicate | languageBranchWritten |
P17999
|
FINISHED |
| Object | Iranian |
—
|
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: Iranian | Statement: [Old Persian cuneiform, languageBranchWritten, Iranian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageBranchWritten Context triple: [Old Persian cuneiform, languageBranchWritten, Iranian]
-
A.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
B.
writesLanguage
Indicates that an entity produces written content in a particular language.
-
C.
languageIntroduced
Indicates that a particular language was brought into use or made known within a certain context, time, or place.
-
D.
createdInLanguage
Indicates that something was produced, authored, or developed using a particular language (natural or programming).
-
E.
languageFamilyWritten
chosen
Indicates that one language family is represented or recorded in a particular written form or script.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a0d96c8190bd1299edbf764bbb |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:08 p.m.