Triple
T26301376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teide |
E661566
|
entity |
| Predicate | monitoringMethods |
P88002
|
FINISHED |
| Object | gas emission measurements |
—
|
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: gas emission measurements | Statement: [Teide, monitoringMethods, gas emission measurements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitoringMethods Context triple: [Teide, monitoringMethods, gas emission measurements]
-
A.
monitoringApproach
chosen
Indicates the method or strategy used to observe, track, or assess a process, condition, or entity over time.
-
B.
monitoringBody
Indicates that one entity is responsible for overseeing, supervising, or tracking the activities, performance, or compliance of another entity.
-
C.
monitoringRequirement
Indicates that one entity is obligated to observe, track, or regularly check another entity or process according to specified criteria or conditions.
-
D.
monitoringFramework
Indicates that one entity provides or defines a system or structure used to observe, measure, and track the performance or state of another entity or process.
-
E.
monitorType
Indicates the type or category of monitor associated with or used by an entity.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eb2b658819086b8ad443c0a9275 |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 10:16 p.m.