Triple
T5226510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrolink 91/Perris Valley Line |
E118000
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
91/PV Line
91/PV Line is a Southern California Metrolink commuter rail route that connects Los Angeles with Riverside and Perris along the 91/Perris Valley corridor.
|
E502539
|
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: 91/PV Line | Statement: [Metrolink 91/Perris Valley Line, alternativeName, 91/PV Line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 91/PV Line Context triple: [Metrolink 91/Perris Valley Line, alternativeName, 91/PV Line]
-
A.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
B.
Line 9
Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
-
C.
Line 9
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
-
D.
Line 9
Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
-
E.
Line 9
Line 9 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving several key districts in the city.
- 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: 91/PV Line Triple: [Metrolink 91/Perris Valley Line, alternativeName, 91/PV Line]
Generated description
91/PV Line is a Southern California Metrolink commuter rail route that connects Los Angeles with Riverside and Perris along the 91/Perris Valley corridor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 91/PV Line Target entity description: 91/PV Line is a Southern California Metrolink commuter rail route that connects Los Angeles with Riverside and Perris along the 91/Perris Valley corridor.
-
A.
Line 9
Line 9 is a line of the Mexico City Metro system that serves as one of its key rapid transit routes across the city.
-
B.
Line 9
Line 9 is a rapid transit line of the Beijing Subway system that serves as part of the city's urban rail network.
-
C.
Line 9
Line 9 is a rapid transit line of the Guangzhou Metro system serving parts of Guangzhou, China.
-
D.
Line 9
Line 9 is a major Barcelona Metro line designed as a long, partially automated route connecting key suburban and airport areas with the wider metropolitan network.
-
E.
Line 9
Line 9 is a rapid transit route within the STC Metro system, serving as one of its numbered urban rail lines.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adc9be081909903b9f844c3d146 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beeffc51888190938dc157b14c4b6c |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b2b6448190be1c465738be741b |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef122c0188190a6ef939431a27f87 |
completed | March 21, 2026, 7:27 p.m. |
Created at: March 20, 2026, 1:48 p.m.