Triple
T7137651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyland |
E166348
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Noddy’s house |
E31013
|
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: Noddy’s house | Statement: [Toyland, contains, Noddy’s house]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noddy’s house Context triple: [Toyland, contains, Noddy’s house]
-
A.
Noddy
chosen
Noddy is a popular British children's book character, a wooden boy who lives in the toy town of Toyland, created by author Enid Blyton.
-
B.
Little Tor
Little Tor is a rocky headland on the Gower Peninsula in South Wales, known for its cliffs, coastal views, and popularity with walkers and climbers.
-
C.
Nobbys
Nobbys is a prominent headland and beach area in Newcastle, New South Wales, Australia, known for its historic lighthouse and coastal views.
-
D.
Toad Hall
Toad Hall is the grand, riverside mansion owned by the wealthy and reckless Mr. Toad in Kenneth Grahame’s classic children’s novel "The Wind in the Willows."
-
E.
The Imaginarium
The Imaginarium is a UK-based performance capture and digital production studio, best known for its pioneering work in motion capture technology for film, television, and video games.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6939b788190929e92ff481f2ee4 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a34b99048190a8e77cd0fe253611 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.