Triple
T34795619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KMTNet Sutherland node |
E1003070
|
entity |
| Predicate | observationStrategy |
P155605
|
FINISHED |
| Object | high-cadence monitoring |
—
|
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: high-cadence monitoring | Statement: [KMTNet Sutherland node, observationStrategy, high-cadence monitoring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationStrategy Context triple: [KMTNet Sutherland node, observationStrategy, high-cadence monitoring]
-
A.
observingStrategy
chosen
Indicates a relationship where one party defines or employs a specific method or plan for conducting observations.
-
B.
observationType
Indicates the specific kind or category of observation being made or recorded in a given context.
-
C.
observerState
Indicates the condition, status, or configuration an observer is in at the time it perceives or monitors something.
-
D.
observationPractice
Indicates a relationship where one entity engages in or applies a method, routine, or discipline of observing another entity or phenomenon.
-
E.
observerStatusIn
Indicates that an entity’s status or role is defined or valid within a specified observational context, system, or environment.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.