Triple
T12954350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto São Bento railway station |
E309971
|
entity |
| Predicate | railwayStationCode |
P1289
|
FINISHED |
| Object |
PSE
PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
|
E1011254
|
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: PSE | Statement: [Porto São Bento railway station, railwayStationCode, PSE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PSE Context triple: [Porto São Bento railway station, railwayStationCode, PSE]
-
A.
PSE
PSE is a major European political party alliance that brings together socialist, social democratic, and labor parties from across the European Union.
-
B.
PSE
PSE is the IATA airport code for Mercedita Airport, a public airport serving the Ponce region in southern Puerto Rico.
-
C.
PSE
PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
-
D.
PSB
PSB is an acronym commonly used to refer to a Protective Services Bureau, a division typically responsible for safeguarding people, property, and critical assets.
-
E.
PSB
PSB is the division of the New York City Police Department responsible for overseeing and coordinating the city’s uniformed patrol operations across its precincts and boroughs.
- 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: PSE Triple: [Porto São Bento railway station, railwayStationCode, PSE]
Generated description
PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PSE Target entity description: PSE is the station code for Porto São Bento, a historic and centrally located railway station in Porto, Portugal.
-
A.
PSE
PSE is a major European political party alliance that brings together socialist, social democratic, and labor parties from across the European Union.
-
B.
PSE
PSE is the IATA airport code for Mercedita Airport, a public airport serving the Ponce region in southern Puerto Rico.
-
C.
PSE
PSE is the national stock exchange of the Philippines, providing a marketplace for the trading of securities such as stocks and bonds.
-
D.
PSB
PSB is Adobe Photoshop’s large document file format designed to handle images exceeding the size and layer limits of standard PSD files.
-
E.
PSB
PSB is an acronym commonly used to refer to a Protective Services Bureau, a division typically responsible for safeguarding people, property, and critical assets.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2b0108819098a681f93e90dbda |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af7ba4d88190952622e7a07ab39e |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b066f3888190b925e5a43be57965 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:44 p.m.