Triple
T35301909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangihe Islands |
E1019527
|
entity |
| Predicate | hasSubmarineVolcano |
P25289
|
FINISHED |
| Object | Banua Wuhu |
—
|
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: Banua Wuhu | Statement: [Sangihe Islands, hasSubmarineVolcano, Banua Wuhu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubmarineVolcano Context triple: [Sangihe Islands, hasSubmarineVolcano, Banua Wuhu]
-
A.
hasVolcano
Indicates that one entity possesses, contains, or is the location of a volcano.
-
B.
hasVolcanicVents
Indicates that one entity possesses or contains volcanic vents associated with another entity or location.
-
C.
hasVolcanicLandform
Indicates that one entity possesses, contains, or is characterized by a volcanic landform (such as a volcano, caldera, or lava plateau).
-
D.
isVolcanic
Indicates that something is characterized by or related to volcanic activity, such as originating from, produced by, or associated with a volcano.
-
E.
hasSeamount
chosen
Indicates that an entity possesses, contains, or is associated with a seamount (an underwater mountain).
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 3, 2026, 4:03 p.m.