Triple
T19940799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Νιόβη |
E479301
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Mount Sipylus |
—
|
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: Mount Sipylus | Statement: [Νιόβη, associatedPlace, Mount Sipylus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Sipylus Context triple: [Νιόβη, associatedPlace, Mount Sipylus]
-
A.
Mount Sipylus
chosen
Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
-
B.
Mount Oligyrtos
Mount Oligyrtos is a prominent mountain massif in the northeastern Peloponnese of Greece, known for its rugged terrain and natural beauty.
-
C.
Mount Parnitha
Mount Parnitha is a prominent mountain and national park in Greece, known for its forests, wildlife, and hiking trails just northwest of Athens.
-
D.
Mount Amiata
Mount Amiata is a dormant volcanic massif in southern Tuscany, Italy, known for its forested slopes, ski areas, and panoramic views over the surrounding countryside.
-
E.
Mount Parnon
Mount Parnon is a prominent mountain range in the southeastern Peloponnese of Greece, known for its rugged peaks, dense forests, and traditional villages.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a1a8df4819094e84855465df6c0 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.