Triple
T33983851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torpoint |
E871358
|
entity |
| Predicate | hasNavalConnection |
P32766
|
FINISHED |
| Object | HMNB Devonport |
—
|
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: HMNB Devonport | Statement: [Torpoint, hasNavalConnection, HMNB Devonport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNavalConnection Context triple: [Torpoint, hasNavalConnection, HMNB Devonport]
-
A.
hasMaritimeConnection
Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
-
B.
hasSeaRouteConnection
Indicates that there exists a navigable maritime route linking two locations or entities.
-
C.
hasNavalComponent
Indicates that something includes, involves, or is associated with a naval or maritime element as part of its composition or structure.
-
D.
hasNavalFacility
chosen
Indicates that one entity possesses, hosts, or contains a naval facility (such as a naval base, port, or installation) associated with it.
-
E.
hasNavalTradition
Indicates that an entity possesses a history, culture, or established practice of maritime or naval activities.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: May 1, 2026, 1:50 a.m.