Triple
T9083352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongnae Station |
E217688
|
entity |
| Predicate | isPartOfUrbanRailNetwork |
P8428
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Dongnae Station, isPartOfUrbanRailNetwork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanRailNetwork Context triple: [Dongnae Station, isPartOfUrbanRailNetwork, true]
-
A.
isUrbanRailwayIn
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
-
B.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
C.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
D.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
E.
isOnPassengerNetwork
Indicates that an entity is part of, connected to, or operates within a passenger transportation network.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960a2760819084aab611eb1c43a9 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.