Triple
T36196820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Bainbridge (DD-1) |
E1047149
|
entity |
| Predicate | laterServiceArea |
P202581
|
FINISHED |
| Object | Atlantic Ocean |
—
|
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: Atlantic Ocean | Statement: [USS Bainbridge (DD-1), laterServiceArea, Atlantic Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterServiceArea Context triple: [USS Bainbridge (DD-1), laterServiceArea, Atlantic Ocean]
-
A.
areaOfService
Indicates the geographic or functional region within which a service is provided or applicable.
-
B.
laterServiceRoute
Indicates that one service route occurs after or succeeds another service route in time.
-
C.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
D.
serviceAreaName
Indicates the designated name of the geographic or functional area that a service covers or operates within.
-
E.
nearbyAreaServed
Indicates that a location or entity provides services or coverage to an adjacent or nearby area.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a009a0e1fa481909ed881012009b268 |
completed | May 10, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_6a0092e9fcb08190a966d720684f25ec |
completed | May 10, 2026, 2:15 p.m. |
| PDg | Predicate description generation | batch_6a009a0d44b481908285ee39b64cb466 |
completed | May 10, 2026, 2:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.