Triple
T13803944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waddon |
E331712
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | South Croydon |
E574969
|
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: South Croydon | Statement: [Waddon, hasNearbyArea, South Croydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Croydon Context triple: [Waddon, hasNearbyArea, South Croydon]
-
A.
West Croydon
West Croydon is a key transport hub in the London Borough of Croydon, serving as an interchange for trams, trains, and buses.
-
B.
East Croydon
East Croydon is a major railway and tram interchange in south London, serving as a key hub for commuter and regional transport.
-
C.
Croydon South
Croydon South is a parliamentary constituency in the southern part of the London Borough of Croydon, known for its largely suburban character and commuter population.
-
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.
Croydon
chosen
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.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54f748d481909661deb151da34c1 |
completed | May 8, 2026, 3:13 a.m. |
Created at: April 9, 2026, 10:12 p.m.