Triple
T6303141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RH postcode area |
E141303
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Forest Row |
E541436
|
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: Forest Row | Statement: [RH postcode area, hasPostTown, Forest Row]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest Row Context triple: [RH postcode area, hasPostTown, Forest Row]
-
A.
Forest Row
chosen
Forest Row is a rural English village in East Sussex known for its proximity to Ashdown Forest and its strong community and alternative culture.
-
B.
Woodley
Woodley is a suburban area in the Metropolitan Borough of Stockport, Greater Manchester, England.
-
C.
Deanwood
Deanwood is a historic, predominantly residential neighborhood in Northeast Washington, D.C., known for its early-20th-century African American community, small-town feel, and modest single-family homes.
-
D.
Sandy Hill
Sandy Hill is a historic, centrally located Ottawa neighbourhood known for its mix of embassies, university buildings, and diverse residential areas.
-
E.
Beverly Pike
Beverly Pike is an American artist known for her large-scale, surreal landscape paintings that explore themes of environmental change and human impact on nature.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645e150881908b49a07914dcbfd8 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e436e7ec8190a5ea470eb83ddaea |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.