Triple
T16050585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bab al-Maghariba |
E389340
|
entity |
| Predicate | hasSecurityInfrastructure |
P121429
|
FINISHED |
| Object | checkpoint |
—
|
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: checkpoint | Statement: [Bab al-Maghariba, hasSecurityInfrastructure, checkpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityInfrastructure Context triple: [Bab al-Maghariba, hasSecurityInfrastructure, checkpoint]
-
A.
hasSecurityArchitecture
Indicates that an entity is associated with or defined by a particular security architecture design or framework.
-
B.
hasSecurityRegime
Indicates that an entity is governed, protected, or controlled by a particular security regime, framework, or set of security rules.
-
C.
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.
-
D.
hasSecurityStandard
Indicates that an entity complies with, follows, or is governed by a specified security standard or framework.
-
E.
hasSafetyInfrastructure
Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.