Triple
T7137649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyland |
E166348
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Toy Town |
E166349
|
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: Toy Town | Statement: [Toyland, contains, Toy Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toy Town Context triple: [Toyland, contains, Toy Town]
-
A.
Toy Town
chosen
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
B.
Little Town
Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
-
C.
Township of Tiny
The Township of Tiny is a rural municipality in central Ontario, Canada, known for its scenic Georgian Bay shoreline, cottages, and natural landscapes.
-
D.
Magic Town
Magic Town is a 1947 American comedy film starring James Stewart as a pollster who exploits a statistically average small town, directed by William A. Wellman and written by Robert Riskin.
-
E.
Mob Town
Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
- 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_69c7ad940bd88190abec876e2d2369bf |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:45 p.m.