Triple
T19299382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascraeus Mons |
E482652
|
entity |
| Predicate | volcanicActivityTimespan |
P28561
|
FINISHED |
| Object | spanned much of Martian history |
—
|
LITERAL 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: spanned much of Martian history | Statement: [Ascraeus Mons, volcanicActivityTimespan, spanned much of Martian history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: volcanicActivityTimespan Context triple: [Ascraeus Mons, volcanicActivityTimespan, spanned much of Martian history]
-
A.
eruptionDuration
Indicates the length of time that an eruption event lasts from its onset to its end.
-
B.
volcanicFieldAge
chosen
Indicates the age or geological time period during which a volcanic field formed or was active.
-
C.
hasFrequentEruptionsSince
Indicates that an entity has experienced eruptions repeatedly and at relatively short intervals starting from a specified point in time.
-
D.
eruptionFrequency
Indicates how often an eruption event occurs within a given time period.
-
E.
hasHistoricalEruptionsSince
Indicates that the referenced volcano or geological feature has experienced one or more recorded eruptions since a specified point in time.
- F. None of above.
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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8852208190ba0337a9623d9bdf |
completed | April 20, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:31 p.m.