Triple
T18987589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parysatis |
E464595
|
entity |
| Predicate | motherOf |
P120
|
FINISHED |
| Object | Ostanes |
—
|
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: Ostanes | Statement: [Parysatis, motherOf, Ostanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostanes Context triple: [Parysatis, motherOf, Ostanes]
-
A.
Ostanes
chosen
Ostanes was a Persian prince of the Achaemenid dynasty, known primarily as a son of King Darius II of Persia.
-
B.
Ostrov
Ostrov is a historic town in Pskov Oblast, Russia, known for its medieval architecture and role as a regional administrative and cultural center.
-
C.
Ostrov
Ostrov is a town in the Karlovy Vary Region of the Czech Republic known for its historical architecture and proximity to the spa city of Karlovy Vary.
-
D.
Othonoi
Othonoi is a small Greek island in the Ionian Sea, known as the westernmost point of Greece and part of the Diapontia Islands.
-
E.
Landana
Landana is a coastal town in Angola’s Cabinda exclave, historically known as a regional trading and missionary center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6618ab881909c0ed94930e42e68 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.