Triple
T27583021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domino servlet engine |
E699627
|
entity |
| Predicate | securityIntegratedWith |
P2368
|
FINISHED |
| Object | Domino ACLs |
—
|
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: Domino ACLs | Statement: [Domino servlet engine, securityIntegratedWith, Domino ACLs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityIntegratedWith Context triple: [Domino servlet engine, securityIntegratedWith, Domino ACLs]
-
A.
securityCooperatesWith
Indicates that one security-related entity collaborates or works jointly with another on security matters or activities.
-
B.
securityPillar
Indicates that one entity functions as a foundational security pillar or core security domain in relation to another entity.
-
C.
securityUnit
Indicates a relationship where one entity functions as a security unit responsible for protecting, monitoring, or enforcing security for another entity.
-
D.
securityFeature
chosen
Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
-
E.
securityApparatusRole
Indicates the role or function an entity holds within a security or law-enforcement apparatus.
- 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_69ef6a4cb8b881909b3a8d630fd89df2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 2:03 p.m.