Triple
T31704479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurosam |
E809141
|
entity |
| Predicate | hasNavalApplication |
P88658
|
FINISHED |
| Object | PAAMS |
—
|
NE NERFINISHED |
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: PAAMS | Statement: [Eurosam, hasNavalApplication, PAAMS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavalApplication Context triple: [Eurosam, hasNavalApplication, PAAMS]
-
A.
hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
-
B.
hasNavalRole
Indicates that an entity holds or is assigned a role, function, or duty within a naval or maritime context.
-
C.
hasNavalFacility
Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
-
D.
usedNavalAviation
Indicates that an entity employed or deployed naval aviation forces or capabilities in a particular context or operation.
-
E.
usedInNavy
chosen
Indicates that something is or was employed, operated, or otherwise utilized by a navy or naval forces.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 30, 2026, 11:13 p.m.