Triple
T4431812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achaea |
E95347
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Arcadia |
E37657
|
NE 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: Arcadia | Statement: [Achaea, borderedBy, Arcadia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcadia Context triple: [Achaea, borderedBy, Arcadia]
-
A.
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.
-
B.
Arcadia
Arcadia is a critically acclaimed 1993 play by Tom Stoppard that intertwines past and present to explore themes of chaos, knowledge, and romantic entanglements.
-
C.
Arcadia
chosen
Arcadia is a mountainous region in the central Peloponnese of Greece, historically famed as a rustic, pastoral idyll in art and literature.
-
D.
The Arcadian
The Arcadian is a popular entertainment and leisure complex in Birmingham, England, known for its mix of bars, restaurants, and nightlife venues.
-
E.
The Grove
The Grove is a popular open-air shopping, dining, and entertainment complex in Los Angeles known for its upscale retailers and lively atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3556b71448190a3fab938853f8b87 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6136f350c81908d00eff850951ab0 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.