Triple
T16701869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai–Pune route |
E405872
|
entity |
| Predicate | majorMode |
P5072
|
FINISHED |
| Object | road transport |
—
|
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: road transport | Statement: [Mumbai–Pune route, majorMode, road transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorMode Context triple: [Mumbai–Pune route, majorMode, road transport]
-
A.
mode
chosen
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
-
B.
majorType
Indicates that one entity is classified as the primary or main type/category of another entity.
-
C.
majorStyle
Indicates the primary artistic, aesthetic, or methodological style that characterizes or dominates something in relation to others.
-
D.
mainEditor
Indicates that one entity serves as the primary editor responsible for overseeing and managing the editing of another entity.
-
E.
modeType
Indicates the specific manner, method, or operational mode in which an action, process, or system is carried out or functions.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383326d7081909ef4c3b724876513 |
completed | April 18, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.