Triple
T33649509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Controller |
E862054
|
entity |
| Predicate | railwayTypeManaged |
P55099
|
FINISHED |
| Object | narrow-gauge railway |
—
|
LITERAL 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: narrow-gauge railway | Statement: [The Thin Controller, railwayTypeManaged, narrow-gauge railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayTypeManaged Context triple: [The Thin Controller, railwayTypeManaged, narrow-gauge railway]
-
A.
railSystemType
Indicates the specific category or classification of a rail transportation system that an entity belongs to or operates within.
-
B.
railwayTypeServed
chosen
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
C.
railwayClass
Indicates the specific classification or category assigned to a railway or railway service within a defined system.
-
D.
railwayAdministrationType
Indicates the type or category of administrative authority responsible for managing or overseeing a railway.
-
E.
railwayInfrastructureManager
Indicates that one entity is responsible for managing, maintaining, and operating the railway infrastructure used by another entity.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 1:42 a.m.