Triple
T14783286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennycliff Bay |
E347444
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Hooe |
E1068905
|
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: Hooe | Statement: [Jennycliff Bay, nearbySettlement, Hooe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hooe Context triple: [Jennycliff Bay, nearbySettlement, Hooe]
-
A.
Hooe
chosen
Hooe is a suburban area of Plymouth in Devon, England, known for its coastal setting and proximity to the Plym Estuary.
-
B.
Hoodi
Hoodi is a rapidly developing suburban neighborhood in eastern Bengaluru, India, known for its residential complexes, tech parks, and proximity to major IT hubs.
-
C.
Hannen
Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
-
D.
Hollup
"Hollup" is a popular Afrobeats track by Nigerian artist Mr Eazi that helped establish his signature laid-back, melodic style.
-
E.
Haro
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d02e28081909a11d6e6fdb8d28c |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.