Triple
T36711215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aramaic script |
E906797
|
entity |
| Predicate | periodOfWidestUse |
P122700
|
FINISHED |
| Object | Achaemenid period |
—
|
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: Achaemenid period | Statement: [Aramaic script, periodOfWidestUse, Achaemenid period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfWidestUse Context triple: [Aramaic script, periodOfWidestUse, Achaemenid period]
-
A.
historicalPeriodOfGreatestUse
chosen
Indicates the time period during which something was used most intensively or prevalently.
-
B.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
C.
firstWidelyUsedDuring
Indicates that something (such as a concept, technology, or practice) came into its first period of broad or widespread use during a specified time or era.
-
D.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
E.
historicalPeriodOfFirstUse
Indicates the historical time period during which something was first used or came into use.
- 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_69f76e73ad108190a5241585f2303e9a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:12 p.m.