Triple
T18134442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa del Gurugú |
E434098
|
entity |
| Predicate | hasSafetyFlagSystem |
P63490
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Playa del Gurugú, hasSafetyFlagSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyFlagSystem Context triple: [Playa del Gurugú, hasSafetyFlagSystem, yes]
-
A.
hasSafetyCharacteristic
chosen
Indicates that an entity possesses a specific safety-related property, feature, or attribute.
-
B.
supportsSafetyChecks
Indicates that an entity provides or enables mechanisms for performing safety checks or validations.
-
C.
hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
-
D.
hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
-
E.
hasSecurityFunction
Indicates that an entity performs, provides, or is responsible for a security-related role, protection mechanism, or safeguarding function for another entity or system.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de055c608190a090c2737904e5f9 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.