Triple
T13295312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Dark Red Line |
E316664
|
entity |
| Predicate | isFixedGuideway |
P109388
|
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, isFixedGuideway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFixedGuideway Context triple: [MRT Dark Red Line, isFixedGuideway, true]
-
A.
guidewayType
Indicates the specific kind or classification of guideway used in a transportation or movement system.
-
B.
isPublicTransportBackboneOf
Indicates that one transport system serves as the primary structural and functional core of a region’s overall public transportation network.
-
C.
isMajorTransitPointFor
Indicates that a location serves as a primary hub or key node for the movement or transfer of people, goods, or vehicles within a transportation network.
-
D.
isOnRailway
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
E.
isTransportHubType
Indicates that something serves as or belongs to a particular category of transport hub (such as a station, port, or terminal).
- F. None of above. chosen
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_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. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:28 p.m.