Triple
T38521685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godavari River basin |
E922492
|
entity |
| Predicate | countryRankByRiverLength |
P204704
|
FINISHED |
| Object | second-longest river of India |
—
|
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: second-longest river of India | Statement: [Godavari River basin, countryRankByRiverLength, second-longest river of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryRankByRiverLength Context triple: [Godavari River basin, countryRankByRiverLength, second-longest river of India]
-
A.
riverLength
Indicates the measured extent of a river from its source to its mouth, typically expressed as a linear distance.
-
B.
riverLengthContext
Indicates the contextual or situational information under which a river’s length is measured or considered.
-
C.
hasLongestRiver
Indicates that one entity possesses or contains the river that is longer than any other river associated with the compared entities.
-
D.
waterwayLengthKilometres
Indicates the total length of a waterway, measured in kilometres.
-
E.
countryDrainageRank
Indicates the relative position of a country when countries are ordered by the total area or volume of their drainage basins (river outflow systems).
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.