Triple
T23322252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahadayi River |
E591182
|
entity |
| Predicate | lengthInGoa |
P151867
|
FINISHED |
| Object | approximately 52 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 52 km | Statement: [Mahadayi River, lengthInGoa, approximately 52 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInGoa Context triple: [Mahadayi River, lengthInGoa, approximately 52 km]
-
A.
lengthInPortugal
Indicates that something has a specified length measured within the context or territory of Portugal.
-
B.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
-
C.
distanceFromPanaji
Indicates the spatial distance between a given location and the city of Panaji.
-
D.
distanceFromVascoDaGama
Indicates the measured spatial distance between a given entity and Vasco da Gama.
-
E.
lengthInPakistan
Indicates that something has a specified length measured within the context or territory of Pakistan.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.