Triple
T28019716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gauge 1 |
E707652
|
entity |
| Predicate | supportedByManufacturer |
P202061
|
FINISHED |
| Object | Märklin |
E186664
|
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: Märklin | Statement: [Gauge 1, supportedByManufacturer, Märklin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedByManufacturer Context triple: [Gauge 1, supportedByManufacturer, Märklin]
-
A.
manufacturerSupportedBy
Indicates that a manufacturer receives backing, assistance, or endorsement from another party.
-
B.
supportedByCompany
Indicates that an entity receives backing, resources, or endorsement from a specific company.
-
C.
usedByManufacturer
Indicates that a manufacturer makes use of a particular resource, component, method, or tool in its production or operational processes.
-
D.
supportsBrand
Indicates that one entity endorses, promotes, or is compatible with a particular brand.
-
E.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_6a004b6ad4248190b402a0d01b0ebf83 |
completed | May 10, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15b8a7512081909d7240ba4261ff3d |
completed | May 26, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a004ae736b881908a0efed8f63f982e |
completed | May 10, 2026, 9:07 a.m. |
| PDg | Predicate description generation | batch_6a004b69d8788190965dcf3653ac88a9 |
completed | May 10, 2026, 9:10 a.m. |
Created at: April 27, 2026, 8:09 p.m.