Triple
T18304730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayy |
E438452
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Arsacia |
—
|
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: Arsacia | Statement: [Rayy, hasAlternativeName, Arsacia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arsacia Context triple: [Rayy, hasAlternativeName, Arsacia]
-
A.
Arsacia
chosen
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
-
B.
Naousa
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
C.
Achilla
Achilla is a military commander and antagonist in George Frideric Handel’s Baroque opera "Giulio Cesare in Egitto."
-
D.
Diomedea
Diomedea is a genus of large albatrosses, renowned oceanic seabirds known for their impressive wingspans and long-distance soaring over open seas.
-
E.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.