Triple
T17461416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artashata |
E425158
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Artashata |
—
|
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: Artashata | Statement: [Artashata, givenName, Artashata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artashata Context triple: [Artashata, givenName, Artashata]
-
A.
Artashata
chosen
Artashata was the original name of Darius III, the last king of the Achaemenid Persian Empire who was defeated by Alexander the Great.
-
B.
Panticapaeum
Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
-
C.
Edessa
Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
-
D.
Edessa
Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
-
E.
Nineveh
Nineveh was an ancient Assyrian city on the eastern bank of the Tigris River, famed as a major political and cultural center and once the capital of the Neo-Assyrian Empire.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3c4cc8190937808e3272272c0 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.