Triple
T3186788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baháʼí Gardens |
E66716
|
entity |
| Predicate | behaviorCode |
P46514
|
FINISHED |
| Object | quiet and respectful conduct requested |
—
|
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: quiet and respectful conduct requested | Statement: [Baháʼí Gardens, behaviorCode, quiet and respectful conduct requested]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: behaviorCode Context triple: [Baháʼí Gardens, behaviorCode, quiet and respectful conduct requested]
-
A.
behaviorObserved
Indicates that a particular behavior or action has been witnessed, recorded, or detected in relation to an entity or context.
-
B.
behaviorNear
Indicates that one entity exhibits a behavior or action in close spatial proximity to another entity.
-
C.
defaultBehavior
Indicates the standard or fallback way an entity acts or responds when no specific or overriding instructions or conditions are provided.
-
D.
operatorCode
Indicates that one entity is associated with a specific operator’s identifying code used to denote who performs or manages an operation or service.
-
E.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
- F. None of above. chosen
Provenance (4 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6c32ce88190a231be18d38ec5ba |
completed | March 8, 2026, 4:41 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:06 p.m.