Triple
T5804163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hymn to Aphrodite |
E128699
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Mount Ida |
E93580
|
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 Ida | Statement: [Hymn to Aphrodite, setting, Mount Ida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Ida Context triple: [Hymn to Aphrodite, setting, Mount Ida]
-
A.
Mount Ida
chosen
Mount Ida is the tallest mountain on the Greek island of Crete, renowned in Greek mythology as a sacred site associated with the upbringing of Zeus.
-
B.
Mount Jo
Mount Jo is a small, popular peak in New York’s Adirondack Mountains known for its short hike and expansive views of the High Peaks region.
-
C.
Mount Eddy
Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
-
D.
Mount Oread
Mount Oread is the prominent hill in Lawrence, Kansas that serves as the main site of the University of Kansas campus.
-
E.
Mount Beacon
Mount Beacon is a prominent peak in New York’s Hudson Highlands, known for its hiking trails, scenic views of the Hudson River Valley, and historic inclined railway.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e352c74481909e74fa0a2607b44d |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:52 p.m.