Triple
T122027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MAX Red Line |
E2466
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
Siemens S70
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
|
E14233
|
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: Siemens S70 | Statement: [MAX Red Line, rollingStock, Siemens S70]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemens S70 Context triple: [MAX Red Line, rollingStock, Siemens S70]
-
A.
Siemens SD660
Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
-
B.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
C.
Saab Automobile
Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
-
D.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
-
E.
Weisser Clevner
Weisser Clevner is a white wine grape variety better known internationally as Chardonnay, one of the world’s most widely planted and versatile wine grapes.
- 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: Siemens S70 Triple: [MAX Red Line, rollingStock, Siemens S70]
Generated description
The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siemens S70 Target entity description: The Siemens S70 is a modern low-floor light rail vehicle widely used in North American urban transit systems.
-
A.
Siemens SD660
Siemens SD660 is a model of light rail vehicle built by Siemens for use in modern urban transit systems.
-
B.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
C.
Saab Automobile
Saab Automobile was a Swedish car manufacturer known for its innovative engineering, turbocharged engines, and distinctive, safety-focused designs.
-
D.
Otto
Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
-
E.
Weisser Clevner
Weisser Clevner is a white wine grape variety better known internationally as Chardonnay, one of the world’s most widely planted and versatile wine grapes.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25739ef28819093f3f0e6bb670201 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29e494ef08190b8c5b5f8d52251c8 |
completed | Feb. 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69a29eb86f5c819081da2fd6275d6f78 |
completed | Feb. 28, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2a04c4cc88190b8741fa48a158dc2 |
completed | Feb. 28, 2026, 7:59 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.