Triple
T8474378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orestes |
E200352
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Tauris |
E521207
|
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: Tauris | Statement: [Orestes, associatedPlace, Tauris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tauris Context triple: [Orestes, associatedPlace, Tauris]
-
A.
Tauris
chosen
Tauris is the mythological land of the Taurians on the Crimean peninsula, known in Greek tragedy as the remote and barbaric setting of Iphigenia’s exile.
-
B.
Tarsos
Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
-
C.
Vatheia
Vatheia is a historic hilltop village in Greece’s Mani region, renowned for its cluster of stone tower houses overlooking the rugged Laconian landscape and sea.
-
D.
Troyan
Troyan is a town in central Bulgaria, known for its proximity to the Balkan Mountains, traditional crafts, and the nearby Troyan Monastery.
-
E.
Alpharita
Alpharita is the birth name of Rita Marley, the Jamaican singer and widow of reggae legend Bob Marley.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f7328481909ad19bcf8d182022 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a057b6c8190ad592110ca393ee2 |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.