Triple
T4498122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antalya Province |
E100748
|
entity |
| Predicate | hasHeritageSite |
P923
|
FINISHED |
| Object | Olympos |
E325081
|
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: Olympos | Statement: [Antalya Province, hasHeritageSite, Olympos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympos Context triple: [Antalya Province, hasHeritageSite, Olympos]
-
A.
Olympos
chosen
Olympos was an ancient coastal city in Lycia, known for its strategic harbor, Hellenistic and Roman ruins, and later association with pirates and early Christian history.
-
B.
Olympos
Olympos is a traditional, picturesque mountain village on the Greek island of Karpathos, known for its preserved customs, distinctive architecture, and panoramic Aegean views.
-
C.
Kithairon
Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
-
D.
Lerna
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
-
E.
Erymanthos Mountains
The Erymanthos Mountains are a rugged mountain range in the Peloponnese of Greece, known for their high peaks, deep gorges, and rich natural landscapes.
- 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_69bd43cdf15081909a4fa2585ff63b3e |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c065e88190934eb0b1632d79bb |
completed | March 20, 2026, 2:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f850824819092e518e1bd950f80 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1 p.m.