Triple
T19830694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympus Mons aureole |
E476452
|
entity |
| Predicate | surrounds |
P7850
|
FINISHED |
| Object | Olympus Mons |
—
|
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: Olympus Mons | Statement: [Olympus Mons aureole, surrounds, Olympus Mons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olympus Mons Context triple: [Olympus Mons aureole, surrounds, Olympus Mons]
-
A.
Olympus Mons
chosen
Olympus Mons is the largest known volcano and mountain in the Solar System, towering over the Martian landscape with an immense shield-like structure.
-
B.
Arsia Mons
Arsia Mons is a massive shield volcano on Mars, part of the Tharsis volcanic region and one of the largest volcanoes in the Solar System.
-
C.
Pavonis Mons
Pavonis Mons is a large shield volcano on Mars, located in the Tharsis region and known as one of the planet’s prominent volcanic peaks.
-
D.
Ascraeus Mons
Ascraeus Mons is one of the largest shield volcanoes on Mars, towering above the Tharsis region with a broad, gently sloping profile.
-
E.
Alba Mons
Alba Mons is a vast, low-relief shield volcano on Mars, notable for being one of the largest volcanic edifices in the Solar System by area.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.