Triple
T19032377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangaeus |
E465772
|
entity |
| Predicate | hasVariantName |
P457
|
FINISHED |
| Object | Pangaion Oros |
—
|
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: Pangaion Oros | Statement: [Pangaeus, hasVariantName, Pangaion Oros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangaion Oros Context triple: [Pangaeus, hasVariantName, Pangaion Oros]
-
A.
Mount Pangaion
chosen
Mount Pangaion is a historically significant mountain in northern Greece, famed in antiquity for its rich gold and silver mines and its role in ancient Macedonian and Thracian history.
-
B.
Mount Othrys
Mount Othrys is the mythological mountain in Greek lore that served as the stronghold and base of power for the Titans during their war against the Olympian gods.
-
C.
Pangaion Hills
Pangaion Hills is a mountainous region in northern Greece historically known for its rich mineral resources and ancient mining activity.
-
D.
Pangaion
Pangaion is a figure from Greek mythology known primarily as a sibling of Ida.
-
E.
Pangaion
Pangaion is a mountain in northern Greece historically known for its rich mineral resources and significance in ancient Macedonian and Thracian history.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.