Triple
T29286264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deshnoke |
E742519
|
entity |
| Predicate | safetyStatusForRats |
P56024
|
FINISHED |
| Object | rats are protected from harm in Karni Mata Temple |
—
|
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: rats are protected from harm in Karni Mata Temple | Statement: [Deshnoke, safetyStatusForRats, rats are protected from harm in Karni Mata Temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyStatusForRats Context triple: [Deshnoke, safetyStatusForRats, rats are protected from harm in Karni Mata Temple]
-
A.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
-
B.
safetyRationale
chosen
Indicates the reasoning or justification provided to explain how and why something is considered safe or made safe.
-
C.
reactorStatusDuringOccupation
Indicates the operational state of a reactor throughout a specified period of occupation or control.
-
D.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
E.
deerStatus
Indicates the current condition or state associated with a deer in the context of the relationship or process being modeled.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 28, 2026, 12:58 p.m.