Triple
T13469754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bi-State Development Agency (Metro) transit system |
E311596
|
entity |
| Predicate | lightRailTechnology |
P10917
|
FINISHED |
| Object | electric multiple unit trains |
—
|
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: electric multiple unit trains | Statement: [Bi-State Development Agency (Metro) transit system, lightRailTechnology, electric multiple unit trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightRailTechnology Context triple: [Bi-State Development Agency (Metro) transit system, lightRailTechnology, electric multiple unit trains]
-
A.
lightRailSystemName
Indicates the name assigned to a particular light rail transit system.
-
B.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
C.
rapidTransitSystem
Indicates a transportation relationship where people or goods are moved via a high-capacity, high-frequency public transit system designed for rapid travel over urban or regional routes.
-
D.
isElectricRailway
chosen
Indicates that a given railway system operates using electric power rather than diesel or other forms of propulsion.
-
E.
lightRailExpansion
Indicates the process or plan of extending an existing light rail transit system to cover additional areas or routes.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf21e46081908a00c9acf54f270f |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.