Triple
T19832440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Elis |
E476495
|
entity |
| Predicate | neighboringEntity |
P350
|
FINISHED |
| Object | Arcadia |
—
|
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: Arcadia | Statement: [Kingdom of Elis, neighboringEntity, Arcadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcadia Context triple: [Kingdom of Elis, neighboringEntity, Arcadia]
-
A.
Arcadia
chosen
Arcadia is a mountainous region in the central Peloponnese of Greece, historically famed as a rustic, pastoral idyll in art and literature.
-
B.
Arcadia
Arcadia is a suburban city in Los Angeles County, California, known for its affluent neighborhoods, the Santa Anita Park racetrack, and the Los Angeles County Arboretum and Botanic Garden.
-
C.
Arcadia
Arcadia is a small coastal township on Magnetic Island in Queensland, Australia, known for its beaches and relaxed holiday atmosphere.
-
D.
Arcadia
Arcadia is a small census-designated community located in Spartanburg County, South Carolina, known primarily as a residential area near the city of Spartanburg.
-
E.
Arcadia
Arcadia is a late 16th-century prose romance by Sir Philip Sidney that blends pastoral, political, and heroic themes and became highly influential in English Renaissance literature.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.