Triple
T31519704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karun-4 Dam |
E804173
|
entity |
| Predicate | heightFromRiverBed |
P43545
|
FINISHED |
| Object | about 220 m |
—
|
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: about 220 m | Statement: [Karun-4 Dam, heightFromRiverBed, about 220 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightFromRiverBed Context triple: [Karun-4 Dam, heightFromRiverBed, about 220 m]
-
A.
riverbedDepth
Indicates the depth or vertical distance from the water surface to the bottom of a river at a given location or time.
-
B.
elevationAboveWater
Indicates the vertical distance by which one entity is positioned above the surface level of a body of water.
-
C.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
D.
heightAboveGround
Indicates the vertical distance of an entity measured from the ground surface directly beneath it.
-
E.
damHeight
chosen
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
- 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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 9:55 p.m.