Triple
T1658612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran Metro |
E35854
|
entity |
| Predicate | hasSuburbanLine |
P17559
|
FINISHED |
| Object | Line 5 |
E199302
|
NE FINISHED |
How this triple was built (3 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: Line 5 | Statement: [Tehran Metro, hasSuburbanLine, Line 5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Line 5 Context triple: [Tehran Metro, hasSuburbanLine, Line 5]
-
A.
Line 5
Line 5 is one of the main lines of the Santiago Metro in Chile, running across several key districts and serving as a major east–west transit corridor in the city.
-
B.
Line 5
Line 5 is a major north–south route of the Beijing Subway known for connecting key residential and commercial areas through the city center.
-
C.
Line 5
Line 5 is one of the lines of the Mexico City Metro system, serving multiple stations across the city as part of its rapid transit network.
-
D.
Line 5
Line 5 is a major east–west rapid transit route in the Guangzhou Metro system, serving key urban districts and facilitating high-capacity cross-city travel.
-
E.
Line 5
chosen
Line 5 is a commuter rail line of the Tehran Metro system that connects central Tehran with its western suburbs and satellite cities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanLine Context triple: [Tehran Metro, hasSuburbanLine, Line 5]
-
A.
hasMetroLine
chosen
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
hasSuburbanSection
Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
-
C.
hasShuttleLine
Indicates that there is a shuttle service or route operating between the related entities.
-
D.
hasSuburbanCharacter
Indicates that something possesses qualities or features typically associated with suburban areas, such as lower density, residential focus, and car-oriented development.
-
E.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
- F. None of above.
Provenance (4 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5b7247c81909224f04af68c3a5d |
completed | March 8, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.