Triple
T156609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeus |
E3194
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Mount Olympus |
E19140
|
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 Olympus | Statement: [Zeus, residence, Mount Olympus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Olympus Context triple: [Zeus, residence, Mount Olympus]
-
A.
Mount Olympus
chosen
Mount Olympus is a famous mountain in northern Greece renowned in Greek mythology as the home of the Olympian gods and goddesses.
-
B.
Nevis
Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
-
C.
Mont Maudit
Mont Maudit is a prominent peak in the Mont Blanc massif of the Alps, known for its challenging mixed climbing routes and high-altitude glaciated terrain.
-
D.
Mount Sinai
Mount Sinai is the biblical mountain in the Sinai Peninsula where Moses is traditionally believed to have received God's law, making it a central site in Jewish, Christian, and Islamic tradition.
-
E.
Santa Lucia Range
The Santa Lucia Range is a rugged coastal mountain range in central California known for its dramatic cliffs, redwood forests, and scenic stretches like Big Sur along the Pacific Ocean.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25830136881909f5ecb2cb22097b2 |
completed | Feb. 28, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a31619063c8190879a726867d4b46d |
completed | Feb. 28, 2026, 4:21 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.