Triple
T36483017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SA-2 |
E898866
|
entity |
| Predicate | waterReleaseAltitude |
P196231
|
FINISHED |
| Object | approximately 105 kilometers |
—
|
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 105 kilometers | Statement: [SA-2, waterReleaseAltitude, approximately 105 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterReleaseAltitude Context triple: [SA-2, waterReleaseAltitude, approximately 105 kilometers]
-
A.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
B.
dropsFromElevation
Indicates that an entity moves downward from a higher elevation or height to a lower one.
-
C.
reservoirVolumeReleased
Indicates the amount of water discharged from a reservoir over a specified period or event.
-
D.
reservoirElevation
Indicates the height or level of water stored in a reservoir relative to a defined reference point.
-
E.
floodHeight
Indicates the measured vertical level or depth reached by floodwaters at a specific location or time.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
| PDg | Predicate description generation | batch_69fe1639613c8190aaf1b4c8e2d861ba |
completed | May 8, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:10 p.m.