Triple
T4835498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terpsichore |
E108047
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Mount Helicon |
E106315
|
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: Mount Helicon | Statement: [Terpsichore, residence, Mount Helicon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Helicon Context triple: [Terpsichore, residence, Mount Helicon]
-
A.
Mount Helicon
chosen
Mount Helicon is a mountain in Boeotia, Greece, famed in Greek mythology as a sacred place of poetic inspiration and the home of the Muses.
-
B.
Mount Ainos
Mount Ainos is the highest mountain on the Greek island of Kefalonia, noted for its dense fir forests and status as a national park.
-
C.
Mount Cithaeron
Mount Cithaeron is a mountain range in central Greece historically significant in Greek mythology and drama, often serving as a setting for legendary events and tragedies.
-
D.
Mount Lykaion
Mount Lykaion is a mountain in Arcadia, Greece, historically renowned as a major sanctuary of Zeus and the site of ancient athletic and religious festivals.
-
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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce00cd48190a675fb75eae152c2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dda71e08190a28215f91405a4e1 |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:25 p.m.