Triple
T10936344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GWS30 Sea Dart |
E258340
|
entity |
| Predicate | systemDesignation |
P81036
|
FINISHED |
| Object | GWS30 |
E895130
|
NE 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: GWS30 | Statement: [GWS30 Sea Dart, systemDesignation, GWS30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GWS30 Context triple: [GWS30 Sea Dart, systemDesignation, GWS30]
-
A.
GWS30
chosen
GWS30 is the Royal Navy’s designation for the Sea Dart, a long-range, ship-based surface-to-air missile system used primarily for fleet air defense.
-
B.
GSW
GSW refers to the Golden State Warriors, a professional NBA basketball team based in the San Francisco Bay Area.
-
C.
S30
S30 is the pennant number of HMS Vigilant, a Royal Navy Vanguard-class nuclear-powered ballistic missile submarine.
-
D.
GWW
GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
-
E.
LW300
The LW300 is a mid-size station wagon variant of Saturn's L-Series, offering practical cargo space and family-oriented features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770afaa1c8190b8fced9c694c0938 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d710f65c8190a4ef17a6d90a19d2 |
completed | April 18, 2026, 12:57 a.m. |
Created at: April 8, 2026, 9:23 p.m.