Triple
T19959796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castletown |
E479781
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Wearside |
—
|
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: Wearside | Statement: [Castletown, locatedIn, Wearside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wearside Context triple: [Castletown, locatedIn, Wearside]
-
A.
Wearside
chosen
Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
-
B.
South Tyneside
South Tyneside is a metropolitan borough in North East England that includes coastal towns such as South Shields and forms part of the urban area around Newcastle upon Tyne.
-
C.
Tyneside
Tyneside is an urban region in northeast England centered on the River Tyne, best known for the city of Newcastle and its strong football and industrial heritage.
-
D.
Teesport
Teesport is a major deep-water port and industrial complex on the River Tees in North East England, serving as a key hub for bulk cargo, container traffic, and petrochemical industries.
-
E.
Shotts
Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65af386548190aefac1e40aac403d |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.