Triple
T15430799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kettletoft |
E369632
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Lady Village |
E368107
|
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: Lady Village | Statement: [Kettletoft, roadConnectionTo, Lady Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady Village Context triple: [Kettletoft, roadConnectionTo, Lady Village]
-
A.
Lady Village
chosen
Lady Village is the main settlement on the Orkney island of Sanday in Scotland.
-
B.
Ashbury Heights
Ashbury Heights is a residential San Francisco neighborhood known for its hilly streets, Victorian homes, and proximity to the Haight-Ashbury and Cole Valley areas.
-
C.
Riversdale
Riversdale is a residential suburb in Melbourne, Australia, known for its access to public transport and proximity to local amenities and green spaces.
-
D.
Riversdale
Riversdale is a small town in South Africa’s Western Cape province, situated along the Garden Route and known for its agricultural surroundings and scenic mountain backdrop.
-
E.
Ladywood
Ladywood is an inner-city district of Birmingham, England, known for its dense residential areas, regeneration projects, and proximity to the city centre.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ed8ea888190bff8dc14859cca31 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.