Triple
T7175666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istanbul Metro |
E167312
|
entity |
| Predicate | hasLine |
P35
|
FINISHED |
| Object |
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.
|
E651101
|
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: M22 line | Statement: [Istanbul Metro, hasLine, M22 line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M22 line Context triple: [Istanbul Metro, hasLine, M22 line]
-
A.
M20 line
The M20 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail network.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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: M22 line Triple: [Istanbul Metro, hasLine, M22 line]
Generated description
The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M22 line Target entity description: The M22 line is a planned rapid transit route within the Istanbul Metro network intended to expand urban rail connectivity in the city.
-
A.
M20 line
The M20 line is a rapid transit route within the Istanbul Metro system, serving as part of the city's urban rail network.
-
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 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.
-
E.
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.
- 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_69c7cbdf32d48190a2d24914c3529160 |
completed | March 28, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69c7cc86efa481909b0d6cb04755efde |
completed | March 28, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7cd1d5ac08190bb085530c647a54c |
completed | March 28, 2026, 12:44 p.m. |
Created at: March 27, 2026, 2:48 p.m.