Triple
T11539319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A127 |
E273629
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Leigh-on-Sea |
E661365
|
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: Leigh-on-Sea | Statement: [A127, passesThrough, Leigh-on-Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leigh-on-Sea Context triple: [A127, passesThrough, Leigh-on-Sea]
-
A.
Leigh-on-Sea
chosen
Leigh-on-Sea is a coastal town in Essex, England, known for its historic fishing village, estuary views, and vibrant arts and café culture.
-
B.
St Leonards-on-Sea
St Leonards-on-Sea is a seaside town and resort on the south coast of England, forming part of the larger urban area of Hastings in East Sussex.
-
C.
Basildon
Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
-
D.
Southend-on-Sea
Southend-on-Sea is a coastal resort city in Essex, England, known for its seaside tourism and the world’s longest pleasure pier.
-
E.
Eastleigh
Eastleigh is a densely populated, commercially vibrant neighborhood in Nairobi, Kenya, known for its large Somali community and bustling markets.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef824898e48190abb18307aa917c0c |
completed | April 27, 2026, 3:35 p.m. |
Created at: April 8, 2026, 9:37 p.m.