Triple
T11212899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southend Beach |
E265351
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Southend town centre |
E53391
|
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: Southend town centre | Statement: [Southend Beach, near, Southend town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southend town centre Context triple: [Southend Beach, near, Southend town centre]
-
A.
Southend
Southend is a small coastal village located at the southern tip of the Kintyre peninsula in Argyll and Bute, Scotland.
-
B.
Southend-on-Sea
chosen
Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
-
C.
Southend-on-Sea City Council
Southend-on-Sea City Council is the local authority responsible for providing municipal services and governance for the city of Southend-on-Sea in Essex, England.
-
D.
Southend Beach
Southend Beach is a popular seaside resort beach in Southend-on-Sea, England, known for its long shoreline, traditional pier, and family-friendly attractions along the Thames Estuary.
-
E.
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.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509dd91288190beefaaa451d692ae |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:30 p.m.