Triple
T13188509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HGN |
E313920
|
entity |
| Predicate | codeFor |
P3746
|
FINISHED |
| Object | Hough Green |
E313919
|
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: Hough Green | Statement: [HGN, codeFor, Hough Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hough Green Context triple: [HGN, codeFor, Hough Green]
-
A.
Hough Green
chosen
Hough Green is a suburban area in Widnes, Cheshire, England, served by its own railway station and characterized by residential neighborhoods and local amenities.
-
B.
Benhall Green
Benhall Green is a small rural village located within the county of Suffolk in eastern England.
-
C.
Hurst Green
Hurst Green is a small village in Lancashire, England, known for its scenic countryside near the River Ribble and its association with Stonyhurst College.
-
D.
Hurst Green
Hurst Green is a village and residential area in Surrey, England, situated within the Tandridge District and typically regarded as part of the Oxted area.
-
E.
Butler Green
Butler Green is a residential suburb within the town of Chadderton in Greater Manchester, England.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4d60688190b34e65bbb5d4c152 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7305a8c108190aff4e4797370f3d3 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:15 p.m.