Triple
T20497092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabella Figg |
E502902
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Wisteria Walk |
—
|
NE NERFINISHED |
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: Wisteria Walk | Statement: [Arabella Figg, residence, Wisteria Walk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisteria Walk Context triple: [Arabella Figg, residence, Wisteria Walk]
-
A.
Wisteria Walk
chosen
Wisteria Walk is a residential street in the fictional Surrey town of Little Whinging in the Harry Potter series.
-
B.
Rose Walk
Rose Walk is a scenic lakeside walking path at Lake Junaluska in North Carolina, known for its landscaped rose gardens and peaceful views.
-
C.
Greenway
Greenway is a suburb in the Canberra region of the Australian Capital Territory, known for its proximity to Lake Tuggeranong and local commercial and residential areas.
-
D.
Greenway
Greenway is an Australian federal electoral division in western Sydney, New South Wales.
-
E.
Riverside Walk
Riverside Walk is a scenic riverside trail within Yeovil Country Park, offering visitors a tranquil route for walking and enjoying the natural surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbefe4c819098af5bfd4d92341d |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.