Triple
T13295320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRT Dark Red Line |
E316664
|
entity |
| Predicate | isPartOfMode |
P5540
|
FINISHED |
| Object | urban mass transit |
—
|
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: urban mass transit | Statement: [MRT Dark Red Line, isPartOfMode, urban mass transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfMode Context triple: [MRT Dark Red Line, isPartOfMode, urban mass transit]
-
A.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
B.
isPartOfType
chosen
Indicates that one type or category is a constituent or subset within a larger, encompassing type or category.
-
C.
isOnlyPartOf
Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
-
D.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
E.
isPartOfStandard
Indicates that something belongs to, is included within, or conforms to a defined standard or standardized set.
- 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.