Triple
T20921271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N scale |
E515213
|
entity |
| Predicate | largerThan |
P10621
|
FINISHED |
| Object |
Z scale
Z scale is a model railway scale characterized by its very small size, enabling highly compact and detailed train layouts.
|
E1457931
|
NE FINISHED |
How this triple was built (4 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: Z scale | Statement: [N scale, largerThan, Z scale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Z scale Context triple: [N scale, largerThan, Z scale]
-
A.
N scale
N scale is a popular model railway scale characterized by its small size (typically 1:160), allowing extensive layouts in relatively limited space.
-
B.
Zigaboo Modeliste
Zigaboo Modeliste is an American drummer best known as a founding member of the funk band The Meters and as one of the most influential funk drummers of all time.
-
C.
Märklin
Märklin is a renowned German manufacturer of model railways and technical toys, known for its high-quality trains and detailed miniature systems.
-
D.
K Track
K Track is a model railway track system by Märklin known for its realistic appearance and flexible layout options in HO scale.
-
E.
Hornby trains
Hornby trains are a famous brand of British model railway products known for their detailed, collectible locomotives, rolling stock, and railway accessories.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Z scale Triple: [N scale, largerThan, Z scale]
Generated description
Z scale is a model railway scale characterized by its very small size, enabling highly compact and detailed train layouts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Z scale Target entity description: Z scale is a model railway scale characterized by its very small size, enabling highly compact and detailed train layouts.
-
A.
N scale
N scale is a popular model railway scale characterized by its small size (typically 1:160), allowing extensive layouts in relatively limited space.
-
B.
Zigaboo Modeliste
Zigaboo Modeliste is an American drummer best known as a founding member of the funk band The Meters and as one of the most influential funk drummers of all time.
-
C.
Märklin
Märklin is a renowned German manufacturer of model railways and technical toys, known for its high-quality trains and detailed miniature systems.
-
D.
K Track
K Track is a model railway track system by Märklin known for its realistic appearance and flexible layout options in HO scale.
-
E.
Hornby trains
Hornby trains are a famous brand of British model railway products known for their detailed, collectible locomotives, rolling stock, and railway accessories.
- F. None of above. chosen
Provenance (5 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f64e56bc81908aa86f2176fcc0db |
completed | April 21, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fc8ddc88190b863f952ecfba75b |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a0920fa7e488190b92045b9bd619bba |
completed | May 17, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09216f7b188190b327efe8e4cceae1 |
completed | May 17, 2026, 2:01 a.m. |
Created at: April 16, 2026, 12:48 p.m.