Triple
T16089494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line A (Prague Metro) |
E390322
|
entity |
| Predicate | officialName |
P66
|
FINISHED |
| Object |
Linka A
Linka A is one of the main lines of the Prague Metro rapid transit system, running east–west across the city.
|
E1192857
|
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: Linka A | Statement: [Line A (Prague Metro), officialName, Linka A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linka A Context triple: [Line A (Prague Metro), officialName, Linka A]
-
A.
LINK
LINK is the radio callsign used by the Irish regional airline Airlink for air traffic control communications.
-
B.
The Link
The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
-
C.
Lankendem
Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
-
D.
Linky
Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
-
E.
U Link
U Link is a successor student-focused service platform that continues and modernizes the functions previously provided under the name University Link.
- 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: Linka A Triple: [Line A (Prague Metro), officialName, Linka A]
Generated description
Linka A is one of the main lines of the Prague Metro rapid transit system, running east–west across the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linka A Target entity description: Linka A is one of the main lines of the Prague Metro rapid transit system, running east–west across the city.
-
A.
LINK
LINK is the radio callsign used by the Irish regional airline Airlink for air traffic control communications.
-
B.
The Link
The Link is a key University College Birmingham facility that provides modern teaching, learning, and student support spaces.
-
C.
Lankendem
Lankendem is a character in the ballet "Le Corsaire," typically portrayed as a scheming slave trader who plays a central role in the story’s conflicts and abductions.
-
D.
Linky
Linky is a French smart electricity meter system deployed nationwide to enable remote readings, real-time consumption monitoring, and improved grid management.
-
E.
U Link
U Link is a successor student-focused service platform that continues and modernizes the functions previously provided under the name University Link.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1845161908190adca2af94710b2cc |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:59 a.m.