Triple
T25681450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjuno-Welirang volcanic complex |
E643949
|
entity |
| Predicate | isTwinPeaked |
P73388
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Arjuno-Welirang volcanic complex, isTwinPeaked, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTwinPeaked Context triple: [Arjuno-Welirang volcanic complex, isTwinPeaked, yes]
-
A.
hasTwinPeak
chosen
Indicates that an entity possesses or is characterized by two prominent, closely associated peaks or summits.
-
B.
isFictionalTwinOf
Indicates that one entity is the imagined or fictional twin counterpart of another entity, typically within a narrative or creative context.
-
C.
isTelevisionShowAbout
Indicates that a television show’s primary content, theme, or subject matter concerns a specified topic, person, event, or concept.
-
D.
isBlackAndWhiteEpisodeOf
Indicates that an episode is a black-and-white version belonging to a particular series or show.
-
E.
namedAsTelevisionCounterpartOf
Indicates that one entity is designated as the television-version counterpart of another entity, typically across different media or adaptations.
- 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_69e77e8046888190b07ffa58c7e2c37a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fb794ba48190bc8f3f503ee7cf01 |
completed | May 2, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 7:59 p.m.