Triple
T4595294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jewelry District |
E100187
|
entity |
| Predicate | hasSecurityMeasure |
P22957
|
FINISHED |
| Object | surveillance systems |
—
|
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: surveillance systems | Statement: [Jewelry District, hasSecurityMeasure, surveillance systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityMeasure Context triple: [Jewelry District, hasSecurityMeasure, surveillance systems]
-
A.
safeguardingMeasuresInclude
Indicates that certain specific protective or security measures are contained within, or form part of, a broader set of safeguarding measures.
-
B.
hasSecurityPresence
chosen
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
-
C.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
-
D.
hasSecurityNotion
Indicates that one entity possesses, defines, or is associated with a particular concept or notion of security in relation to another entity or context.
-
E.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd593f25888190a4f219e4da494764 |
completed | March 20, 2026, 2:27 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:11 p.m.