Triple
T30197059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherthala |
E767661
|
entity |
| Predicate | hasBackwater |
P181333
|
FINISHED |
| Object | Vembanad backwaters |
—
|
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: Vembanad backwaters | Statement: [Cherthala, hasBackwater, Vembanad backwaters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackwater Context triple: [Cherthala, hasBackwater, Vembanad backwaters]
-
A.
hasSpillway
Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
-
B.
hasRiverBelow
Indicates that one entity is located above another such that a river lies physically below it.
-
C.
hasPositionInWatercourse
Indicates that one entity occupies a specific location or position within the course of a body of water.
-
D.
hasTailwaterArea
Indicates that a water control structure (such as a dam or weir) is associated with a downstream tailwater area where water flows out and levels are influenced by the structure’s discharge.
-
E.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
- 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_69f2247db1108190835c0727c97637c3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 29, 2026, 7:30 p.m.