Triple
T7484009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark I trains |
E176832
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Alweg
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
|
E667056
|
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: Alweg | Statement: [Mark I trains, manufacturer, Alweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alweg Context triple: [Mark I trains, manufacturer, Alweg]
-
A.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
B.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
C.
Blokzijl
Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
-
D.
Amsteg
Amsteg is a village in the Swiss canton of Uri, situated in the Reuss Valley and known as a transport hub along the Gotthard route.
-
E.
Betuweroute
Betuweroute is a dedicated freight railway line in the Netherlands that connects the port of Rotterdam with Germany to facilitate high-capacity cargo transport across Europe.
- 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: Alweg Triple: [Mark I trains, manufacturer, Alweg]
Generated description
Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alweg Target entity description: Alweg was a pioneering German monorail company best known for developing the technology that inspired systems like the Disneyland Monorail and the Seattle Center Monorail.
-
A.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
B.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
C.
Blokzijl
Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
-
D.
Amsteg
Amsteg is a village in the Swiss canton of Uri, situated in the Reuss Valley and known as a transport hub along the Gotthard route.
-
E.
Betuweroute
Betuweroute is a dedicated freight railway line in the Netherlands that connects the port of Rotterdam with Germany to facilitate high-capacity cargo transport across Europe.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8349d83cc8190af98c3212e28e913 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835916e948190ad5789e4611f8842 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83635c7888190834f02e7ea0f1ab5 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:42 p.m.