Triple
T20170436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wudalianchi volcanic area |
E491943
|
entity |
| Predicate | numberOfMainVolcanoes |
P58537
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Wudalianchi volcanic area, numberOfMainVolcanoes, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainVolcanoes Context triple: [Wudalianchi volcanic area, numberOfMainVolcanoes, 14]
-
A.
numberOfVolcanoes
chosen
Indicates the count of volcanoes associated with a given entity or within a specified context.
-
B.
volcanoNumber
Indicates that an entity is assigned a specific identifying number within a system or catalog of volcanoes.
-
C.
oneOfMostActiveVolcanoesIn
Indicates that a volcano is among the most active volcanoes located within a specified geographic area or region.
-
D.
eruptiveCentersCount
Indicates the number of distinct eruptive centers involved or present in a given volcanic or geological context.
-
E.
foundedAsVolcanoes
Indicates that one entity was originally established or came into existence as a volcano or group of volcanoes.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.