Triple
T21311146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Northumberland |
E525336
|
entity |
| Predicate | launchPlace |
P14314
|
FINISHED |
| Object | Deptford |
—
|
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: Deptford | Statement: [HMS Northumberland, launchPlace, Deptford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deptford Context triple: [HMS Northumberland, launchPlace, Deptford]
-
A.
Deptford
chosen
Deptford is a historic district in southeast London, England, known for its former royal dockyard where Sir Francis Drake was knighted aboard the Golden Hind.
-
B.
Dagenham
Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
-
C.
Croydon
Croydon is a large town in South London, England, known as a major commercial and retail centre with extensive transport links into central London and surrounding areas.
-
D.
Croydon
Croydon is a residential suburb in Sydney, Australia, known for its heritage homes, village-style shopping strip, and proximity to the city centre.
-
E.
Dartford
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75dc926c881909d70a317070ef295 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 4:13 p.m.