Triple
T568647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin U-Bahn line U6 |
E13613
|
entity |
| Predicate | lineNumber |
P1864
|
FINISHED |
| Object |
U6
U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
|
E71188
|
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: U6 | Statement: [Berlin U-Bahn line U6, lineNumber, U6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U6 Context triple: [Berlin U-Bahn line U6, lineNumber, U6]
-
A.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
B.
B6
B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
-
C.
U21
U21 is a global network of leading research-intensive universities that collaborate to enhance higher education and research through international partnerships and initiatives.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
The U
The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
- 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: U6 Triple: [Berlin U-Bahn line U6, lineNumber, U6]
Generated description
U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U6 Target entity description: U6 is a major north–south line of the Berlin U-Bahn rapid transit system, connecting several key districts across the city.
-
A.
U15
U15 is a collective of leading Canadian research-intensive universities known for their major contributions to advanced research, innovation, and graduate education.
-
B.
B6
B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
-
C.
U21
U21 is a global network of leading research-intensive universities that collaborate to enhance higher education and research through international partnerships and initiatives.
-
D.
LU
LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
-
E.
The U
The U is the widely recognized nickname and athletic brand of the University of Miami, especially associated with its prominent Hurricanes sports programs.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4efd0d5b88190a8c0822800f48e2a |
completed | March 2, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69a4f043efec8190a3f53ab2764252be |
completed | March 2, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4f3eb1e3481909aa2b8290ed99e49 |
completed | March 2, 2026, 2:20 a.m. |
Created at: March 1, 2026, 7:33 p.m.