Triple
T25925110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M47 line |
E653280
|
entity |
| Predicate | isUrbanRailComponentOf |
P8428
|
FINISHED |
| Object | Istanbul urban rail network |
—
|
NE NERFINISHED |
How this triple was built (2 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: Istanbul urban rail network | Statement: [M47 line, isUrbanRailComponentOf, Istanbul urban rail network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanRailComponentOf Context triple: [M47 line, isUrbanRailComponentOf, Istanbul urban rail network]
-
A.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
B.
isUrbanRailwayIn
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
-
C.
lightRailNetwork
Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
-
D.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
E.
urbanRailHubFor
Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
- F. None of above.
Provenance (3 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603ec76dc8190ab95147d3cf1591d |
completed | May 2, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:35 a.m.