Triple
T8017851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märklin |
E186664
|
entity |
| Predicate | scaleSupported |
P203
|
FINISHED |
| Object |
Gauge 1
Gauge 1 is a large-scale model railway standard, popular for its detailed, high-quality trains and outdoor layouts, and notably supported by manufacturers like Märklin.
|
E707652
|
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: Gauge 1 | Statement: [Märklin, scaleSupported, Gauge 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gauge 1 Context triple: [Märklin, scaleSupported, Gauge 1]
-
A.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
B.
GA-1
GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
-
C.
Cape gauge
Cape gauge is a narrow railway track gauge of 3 feet 6 inches (1,067 mm) widely used in southern Africa and other parts of the world for mainline and regional railways.
-
D.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
E.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
- 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: Gauge 1 Triple: [Märklin, scaleSupported, Gauge 1]
Generated description
Gauge 1 is a large-scale model railway standard, popular for its detailed, high-quality trains and outdoor layouts, and notably supported by manufacturers like Märklin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gauge 1 Target entity description: Gauge 1 is a large-scale model railway standard, popular for its detailed, high-quality trains and outdoor layouts, and notably supported by manufacturers like Märklin.
-
A.
Gage
Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
-
B.
GA-1
GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
-
C.
Cape gauge
Cape gauge is a narrow railway track gauge of 3 feet 6 inches (1,067 mm) widely used in southern Africa and other parts of the world for mainline and regional railways.
-
D.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
E.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df4f1b8819089a8b67f136bce9a |
completed | March 31, 2026, 3:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c213ec8190b3bd96c42d1357e4 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58a9e94081908980e2c60be38642 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbaefb481909eb325f0d27675c0 |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:20 p.m.