Triple
T13295295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Dark Red Line |
E316664
|
entity |
| Predicate | isRailBased |
P65068
|
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: [MRT Dark Red Line, isRailBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRailBased Context triple: [MRT Dark Red Line, isRailBased, true]
-
A.
hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
B.
isRailServiceOf
Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
-
C.
hasRailRoute
Indicates that there exists a rail-based transportation route or connection between the related entities.
-
D.
hasRailMode
chosen
Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
-
E.
hasRailSystem
Indicates that an entity possesses or is served by a rail-based transportation system.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:28 p.m.