Triple
T13326282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIWS |
E317448
|
entity |
| Predicate | engagementControl |
P109537
|
FINISHED |
| Object | automatic target detection and engagement |
—
|
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: automatic target detection and engagement | Statement: [CIWS, engagementControl, automatic target detection and engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementControl Context triple: [CIWS, engagementControl, automatic target detection and engagement]
-
A.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
B.
engagementTo
Indicates a formal promise or commitment between two entities to enter into a future partnership or binding relationship.
-
C.
engagementStart
Indicates the point in time or event at which an engagement, interaction, or formal involvement between parties begins.
-
D.
engagementCapability
Indicates the ability or capacity of one entity to initiate, conduct, or sustain an interaction or engagement with another entity.
-
E.
engagementPolicy
Indicates the rules or guidelines that govern how parties are allowed or expected to interact or engage with each other.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:30 p.m.