Triple
T23063495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croydon |
E574969
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | No. 1 Croydon |
—
|
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: No. 1 Croydon | Statement: [Croydon, hasLandmark, No. 1 Croydon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: No. 1 Croydon Context triple: [Croydon, hasLandmark, No. 1 Croydon]
-
A.
Croydon
Croydon is a residential suburb in Sydney, Australia, known for its heritage homes, village-style shopping strip, and proximity to the city centre.
-
B.
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.
-
C.
Croydon
Croydon is a residential and commercial suburb in Melbourne, Victoria, known for its leafy streets, local shopping precincts, and access to the Dandenong Ranges.
-
D.
Croydon town centre
Croydon town centre is a major commercial and retail hub in south London, known for its shopping centres, offices, and transport connections.
-
E.
East Croydon
East Croydon is a major railway and tram interchange in south London, serving as a key hub for commuter and regional transport.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a1f49c81909db7e0473ec2bb1b |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.