Triple
T17843217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyehue Volcano |
E445585
|
entity |
| Predicate | hasVentAlignment |
P59151
|
FINISHED |
| Object | NW–SE trending fissures |
—
|
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: NW–SE trending fissures | Statement: [Puyehue Volcano, hasVentAlignment, NW–SE trending fissures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVentAlignment Context triple: [Puyehue Volcano, hasVentAlignment, NW–SE trending fissures]
-
A.
hasAlignment
Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
-
B.
hasFlankVents
Indicates that an entity possesses vents located on its sides or flanks.
-
C.
basedOnAlignmentOf
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
D.
hasAlignmentType
chosen
Indicates that an entity possesses a specific alignment category or classification, such as moral, structural, or directional alignment.
-
E.
requiresAlignment
Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff8730881908cc8e1b572fa0af8 |
completed | April 19, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:16 a.m.