Triple
T37036722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semantan station |
E916659
|
entity |
| Predicate | hasSecurityCCTV |
P3792
|
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: [Semantan station, hasSecurityCCTV, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityCCTV Context triple: [Semantan station, hasSecurityCCTV, yes]
-
A.
hasCCTV
chosen
Indicates that one entity is equipped with or monitored by a CCTV (closed-circuit television) system installed or provided by another entity.
-
B.
hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
-
C.
hasCameraCoverage
Indicates that a specified area, object, or location is within the field of view or monitoring range of a particular camera or set of cameras.
-
D.
isSecureFacility
Indicates that a facility has protections, controls, and safeguards in place to prevent unauthorized access, tampering, or security breaches.
-
E.
hasIntruderDetectionSystem
Indicates that an entity is equipped with a system designed to detect unauthorized or intruding entities.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: May 3, 2026, 4:14 p.m.