Triple
T3596778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karnali River |
E76158
|
entity |
| Predicate | lengthInNepal |
P33049
|
FINISHED |
| Object | approximately 507 km |
—
|
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: approximately 507 km | Statement: [Karnali River, lengthInNepal, approximately 507 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInNepal Context triple: [Karnali River, lengthInNepal, approximately 507 km]
-
A.
rankByLengthInIndia
Indicates an ordering of items based on their length specifically within the context or boundaries of India.
-
B.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
hasOfficialNameInNepali
Indicates that an entity has an official name expressed in the Nepali language.
-
E.
properLengthMeasuredIn
Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19b26bc8190b3cc0613a1a98361 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.