Triple
T30064720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumarakom |
E763996
|
entity |
| Predicate | transportByRoadFrom |
P11026
|
FINISHED |
| Object | Kottayam |
—
|
NE NERFINISHED |
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: Kottayam | Statement: [Kumarakom, transportByRoadFrom, Kottayam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportByRoadFrom Context triple: [Kumarakom, transportByRoadFrom, Kottayam]
-
A.
roadTransportFunction
Indicates a functional relationship in which something serves or is used for the transport of people or goods via roads.
-
B.
transportProject
Indicates a project whose primary purpose is to plan, build, improve, or manage transportation systems, services, or infrastructure.
-
C.
transportationFunction
Indicates that one entity serves to move or carry another entity from one place to another.
-
D.
roadMode
Indicates the mode or type of transportation being used on a road within the described relationship or action.
-
E.
hasTransportRoute
chosen
Indicates that there exists a designated transportation connection or route linking one entity to another.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 29, 2026, 6:59 p.m.