Triple
T1403946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regular Northwest Face |
E31647
|
entity |
| Predicate | cliffFace |
P12975
|
FINISHED |
| Object | northwest face of Half Dome |
—
|
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: northwest face of Half Dome | Statement: [Regular Northwest Face, cliffFace, northwest face of Half Dome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cliffFace Context triple: [Regular Northwest Face, cliffFace, northwest face of Half Dome]
-
A.
hasCliff
Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
-
B.
hasCliffs
chosen
Indicates that something possesses or is characterized by the presence of cliffs.
-
C.
crestFeature
Indicates that an entity possesses a notable crest-related characteristic or structural feature.
-
D.
hasCliffHeight
Indicates the relationship between a cliff and the measurement of its vertical height.
-
E.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.