Triple
T4744937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donner Memorial State Park |
E105338
|
entity |
| Predicate | monumentHeight |
P1724
|
FINISHED |
| Object | approximately 22 feet |
—
|
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 22 feet | Statement: [Donner Memorial State Park, monumentHeight, approximately 22 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monumentHeight Context triple: [Donner Memorial State Park, monumentHeight, approximately 22 feet]
-
A.
statueHeight
chosen
Indicates the height measurement of a statue in some specified unit.
-
B.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
C.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
D.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
E.
isTallestStructureIn
Indicates that the subject is the tallest structure located within the specified place or area.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64aa72c0819082ede0f531d75e65 |
completed | March 20, 2026, 3:15 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:19 p.m.