Triple
T12148621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strubens Valley |
E289392
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Honeydew |
E964054
|
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: Honeydew | Statement: [Strubens Valley, near, Honeydew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honeydew Context triple: [Strubens Valley, near, Honeydew]
-
A.
Honeydew
chosen
Honeydew is a residential suburb in the northwestern part of Johannesburg, South Africa, known for its mix of housing estates, smallholdings, and growing commercial developments.
-
B.
Honeydew
Honeydew is a small, remote community in Northern California’s Lost Coast region, known for its rugged landscape and isolation.
-
C.
Nectar
Nectar is a major UK coalition loyalty scheme that lets customers collect and redeem points across multiple retailers and service providers.
-
D.
Ambrosia
Ambrosia is a figure from Greek mythology, known as a daughter of the Titan Atlas.
-
E.
Ambrosia
Ambrosia is a Thoroughbred racehorse known for competing on the track in professional horse racing events.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ad6ef08190b334a97d6ab41487 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4c19248190913451db0a084172 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.