Triple
T542111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multnomah Falls |
E12652
|
entity |
| Predicate | lowerFallsHeight |
P15472
|
FINISHED |
| Object | 69 ft |
—
|
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: 69 ft | Statement: [Multnomah Falls, lowerFallsHeight, 69 ft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerFallsHeight Context triple: [Multnomah Falls, lowerFallsHeight, 69 ft]
-
A.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
B.
typicalElevationRange
Indicates the usual range of elevation values within which something commonly occurs or exists.
-
C.
lowerCourt
Indicates that one court holds a subordinate or inferior position in the judicial hierarchy relative to another court.
-
D.
hasSpillway
Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
-
E.
partlyBelowSeaLevel
Indicates that an entity’s elevation is such that some, but not all, of it lies below sea level.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b8098481908097228db8ad0262 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.