Triple
T28546232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehran Metro Line 2 |
E722445
|
entity |
| Predicate | isUrbanRailOf |
P64445
|
FINISHED |
| Object | Tehran metropolitan area |
—
|
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: Tehran metropolitan area | Statement: [Tehran Metro Line 2, isUrbanRailOf, Tehran metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanRailOf Context triple: [Tehran Metro Line 2, isUrbanRailOf, Tehran metropolitan area]
-
A.
isUrbanRailwayIn
chosen
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
-
B.
isSuburbanRailway
Indicates that a railway line, service, or system operates primarily within and around a metropolitan area, typically connecting the city center with its suburbs.
-
C.
urbanRailCategory
Indicates the classification of an urban rail system according to its type or category (e.g., metro, tram, light rail).
-
D.
isSuburbanRailIn
Indicates that a suburban rail service or line operates within or belongs to a specified geographic area or region.
-
E.
isPassengerRail
Indicates that something functions as or is classified as a passenger rail service or system, primarily used to transport people rather than freight.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6500e19f481908a1b35ae8b149236 |
completed | May 2, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:39 a.m.