Triple
T18288923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayacamas Mountains |
E438055
|
entity |
| Predicate | partlyComposedOf |
P94810
|
FINISHED |
| Object | andesitic lava flows |
—
|
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: andesitic lava flows | Statement: [Mayacamas Mountains, partlyComposedOf, andesitic lava flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyComposedOf Context triple: [Mayacamas Mountains, partlyComposedOf, andesitic lava flows]
-
A.
partlyConsistsOf
chosen
Indicates that one entity is composed in part, but not entirely, of another entity.
-
B.
structurePartOf
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
C.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
D.
constitutedBy
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
E.
usedInPartOf
Indicates that something is utilized or plays a functional role within a specific component or subpart of a larger whole.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fc49b88190bd5b562e0a959e9d |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.