Triple
T13080974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheshunt |
E310201
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | WALTHAM CROSS |
E279042
|
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: WALTHAM CROSS | Statement: [Cheshunt, postTown, WALTHAM CROSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WALTHAM CROSS Context triple: [Cheshunt, postTown, WALTHAM CROSS]
-
A.
Waltham Cross
chosen
Waltham Cross is a town in southeastern England known for its historic Eleanor Cross and its location near the Greater London boundary.
-
B.
Bedington Crossroads
Bedington Crossroads is an unincorporated rural community located in Berkeley County, West Virginia.
-
C.
Brent Cross
Brent Cross is a district in northwest London best known for its large shopping centre and major road junction.
-
D.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
E.
Gerrards Cross
Gerrards Cross is an affluent commuter town in South Buckinghamshire, England, known for its leafy residential character and convenient rail links to central London.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d98119cb7081908b78ffe83ec99851 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e272629c8190926dbc9df447b6c4 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:01 p.m.