Triple
T26641291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangchenjunga Base Camp trekking route |
E668784
|
entity |
| Predicate | culturalGroupsAlongRoute |
P169921
|
FINISHED |
| Object | Limbu communities |
—
|
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: Limbu communities | Statement: [Kangchenjunga Base Camp trekking route, culturalGroupsAlongRoute, Limbu communities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalGroupsAlongRoute Context triple: [Kangchenjunga Base Camp trekking route, culturalGroupsAlongRoute, Limbu communities]
-
A.
culturalGroupFeatured
Indicates that a particular cultural group is prominently highlighted, showcased, or given special attention in a context, event, or medium.
-
B.
hasCulturalRoute
Indicates that one entity is connected to another by a designated cultural route, such as a path, itinerary, or network highlighting cultural heritage or traditions.
-
C.
nearCulturalRoute
Indicates that one entity is located close to a designated cultural route or pathway.
-
D.
travelRouteContext
Indicates the contextual details (such as purpose, conditions, or circumstances) under which a particular travel route is taken or defined.
-
E.
travelRouteOf
Indicates the path or itinerary that an entity follows or uses when traveling from one location to another.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 2:29 a.m.