Triple
T10416057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburgh Regional Transit |
E245518
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PRT
PRT is the primary public transportation agency serving the Pittsburgh, Pennsylvania metropolitan area, operating buses, light rail, and other transit services.
|
E862256
|
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: PRT | Statement: [Pittsburgh Regional Transit, shortName, PRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRT Context triple: [Pittsburgh Regional Transit, shortName, PRT]
-
A.
PRT
PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
-
B.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
-
C.
PRTC
PRTC stands for Primary Reference Time Clock, a highly accurate timing source used in telecommunications networks to provide traceable time and phase synchronization.
-
D.
PRTC
PRTC was a leftist Salvadoran guerrilla organization that became one of the constituent groups of the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
-
E.
PTP
PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
- 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: PRT Triple: [Pittsburgh Regional Transit, shortName, PRT]
Generated description
PRT is the primary public transportation agency serving the Pittsburgh, Pennsylvania metropolitan area, operating buses, light rail, and other transit services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRT Target entity description: PRT is the primary public transportation agency serving the Pittsburgh, Pennsylvania metropolitan area, operating buses, light rail, and other transit services.
-
A.
PRT
PRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Portugal.
-
B.
PRTC
PRTC was a leftist Salvadoran guerrilla organization that became one of the constituent groups of the Farabundo Martí National Liberation Front (FMLN) during El Salvador’s civil war.
-
C.
PRTC
PRTC is a public transit agency serving Northern Virginia with commuter and local bus services.
-
D.
PRTC
PRTC stands for Primary Reference Time Clock, a highly accurate timing source used in telecommunications networks to provide traceable time and phase synchronization.
-
E.
PTP
PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea108fec8190819423630888fa2b |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fc0dd480819082edcc49a245ad4f |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d6a0188190a7ee6de5aab50486 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859e40bf88190a6dc8deed3049d31 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 6, 2026, 12:10 p.m.