Triple
T7175670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Metro |
E167312
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
M26 line
The M26 line is a planned metro route within the Istanbul Metro network intended to expand rapid transit service in the city.
|
E653279
|
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: M26 line | Statement: [Istanbul Metro, hasLine, M26 line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M26 line Context triple: [Istanbul Metro, hasLine, M26 line]
-
A.
M22 line
The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
-
B.
M2 line
The M2 line is a major rapid transit route within the Ankara Metro system in Turkey, serving key districts of the capital city.
-
C.
M2 line
The M2 line is a fully automated metro line in Lausanne, Switzerland, running on a steep north–south route that connects the city center with surrounding districts and the lakeshore.
-
D.
M2 line
The M2 line is one of the main lines of the Helsinki Metro rapid transit system, serving key districts across the Helsinki metropolitan area.
-
E.
M2 line
The M2 line is a major rapid transit route of the Istanbul Metro system that runs in a north–south direction, connecting key districts on the European side of 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: M26 line Triple: [Istanbul Metro, hasLine, M26 line]
Generated description
The M26 line is a planned metro route within the Istanbul Metro network intended to expand rapid transit service in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M26 line Target entity description: The M26 line is a planned metro route within the Istanbul Metro network intended to expand rapid transit service in the city.
-
A.
M22 line
The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
-
B.
M2 line
The M2 line is a major rapid transit route within the Ankara Metro system in Turkey, serving key districts of the capital city.
-
C.
M2 line
The M2 line is a fully automated metro line in Lausanne, Switzerland, running on a steep north–south route that connects the city center with surrounding districts and the lakeshore.
-
D.
M2 line
The M2 line is one of the main lines of the Helsinki Metro rapid transit system, serving key districts across the Helsinki metropolitan area.
-
E.
M2 line
The M2 line is a major rapid transit route of the Istanbul Metro system that runs in a north–south direction, connecting key districts on the European side of the city.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88ec6a8819083cbc3f4c39b8c79 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db0401f481909cc09c2b8c23cd24 |
completed | March 28, 2026, 1:43 p.m. |
| NEDg | Description generation | batch_69c7dbb0131081908dd70af3c3110b4e |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc951d88819098c6053ddd2e981b |
completed | March 28, 2026, 1:50 p.m. |
Created at: March 27, 2026, 2:48 p.m.