Triple
T10160054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hergest Ridge |
E233864
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object | Hergest |
E845497
|
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: Hergest | Statement: [Hergest Ridge, hasNameOrigin, Hergest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hergest Context triple: [Hergest Ridge, hasNameOrigin, Hergest]
-
A.
Hergest
chosen
Hergest is a rural area on the English–Welsh border known for its rolling hills and proximity to the landscape featured in Mike Oldfield’s album "Hergest Ridge."
-
B.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
-
C.
Grindon
Grindon is a residential suburb of Sunderland in the Wearside area of North East England.
-
D.
Ewhurst
Ewhurst is a rural village and civil parish in Surrey, England, known for its scenic countryside setting on the edge of the Surrey Hills.
-
E.
Shudehill
Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31774617c8190848ad4990fe5801d |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:09 p.m.