Triple
T6431894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بوستان |
E129796
|
entity |
| Predicate | تاریخ_تقریبی_سرایش |
P13262
|
FINISHED |
| Object | حدود ۱۲۵۷ میلادی |
—
|
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: حدود ۱۲۵۷ میلادی | Statement: [بوستان, تاریخ_تقریبی_سرایش, حدود ۱۲۵۷ میلادی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تاریخ_تقریبی_سرایش Context triple: [بوستان, تاریخ_تقریبی_سرایش, حدود ۱۲۵۷ میلادی]
-
A.
dateOfShahDeparture
Indicates the date on which the Shah left or departed from a particular place or position.
-
B.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
-
C.
historicalEraOfRise
Indicates the historical era or period during which an entity first rose to prominence, influence, or significance.
-
D.
historicalPeriodOfArrival
Indicates the historical time period during which an entity arrived at or first appeared in a particular place or context.
-
E.
estimatedYearOfCreation
chosen
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693cadf08190aca84888a3440b3d |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:44 p.m.