Triple
T26997860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mugling–Narayanghat Road |
E680023
|
entity |
| Predicate | majorTransitCorridorFor |
P148759
|
FINISHED |
| Object | Kathmandu |
—
|
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: Kathmandu | Statement: [Mugling–Narayanghat Road, majorTransitCorridorFor, Kathmandu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTransitCorridorFor Context triple: [Mugling–Narayanghat Road, majorTransitCorridorFor, Kathmandu]
-
A.
majorTransportCorridor
chosen
Indicates that a route or pathway functions as a primary, high-capacity channel for transporting people or goods between significant locations.
-
B.
transportCorridorName
Indicates the designated name assigned to a specific transport corridor used for movement of people or goods.
-
C.
majorUrbanCorridor
Indicates a primary transportation route that connects significant urban areas and supports major flows of people, goods, or services between them.
-
D.
transportationCorridorType
Indicates the specific kind or classification of a transportation corridor (such as road, rail, or waterway) that characterizes how the route is used for movement or transit.
-
E.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
- 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 27, 2026, 6:55 a.m.