Triple
T10461877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B North |
E246694
|
entity |
| Predicate | isWithinSecurity |
P18602
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [B North, isWithinSecurity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWithinSecurity Context triple: [B North, isWithinSecurity, true]
-
A.
hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
-
B.
hasSecurityDimension
Indicates that something possesses or is associated with a particular aspect or dimension of security.
-
C.
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.
-
D.
hasSecurityClause
Indicates that an agreement, contract, or document includes a provision specifying security-related requirements, protections, or safeguards.
-
E.
hasSecurityArea
chosen
Indicates that an entity is associated with, assigned to, or falls within a defined security-controlled area or zone.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50883b62c819082711b8c9fd968e3 |
completed | April 7, 2026, 1:37 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:19 p.m.