Triple
T34041356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tauros cattle reserve |
E872952
|
entity |
| Predicate | monitorsOutcome |
P17304
|
FINISHED |
| Object | vegetation structure changes |
—
|
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: vegetation structure changes | Statement: [Tauros cattle reserve, monitorsOutcome, vegetation structure changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsOutcome Context triple: [Tauros cattle reserve, monitorsOutcome, vegetation structure changes]
-
A.
monitors
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
B.
monitoringOutput
chosen
Indicates that one entity observes, records, or tracks the performance, behavior, or results produced by another entity or process.
-
C.
monitorsInstrument
Indicates that one entity observes, tracks, or checks the status or performance of an instrument over time.
-
D.
typicalMonitor
Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
-
E.
monitorsTitan
Indicates that one entity observes, tracks, or oversees the status, behavior, or conditions of Titan.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.