Triple
T33250524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Peak (Mount Hua) |
E851226
|
entity |
| Predicate | cliffCharacteristic |
P148613
|
FINISHED |
| Object | steep rock faces |
—
|
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: steep rock faces | Statement: [East Peak (Mount Hua), cliffCharacteristic, steep rock faces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cliffCharacteristic Context triple: [East Peak (Mount Hua), cliffCharacteristic, steep rock faces]
-
A.
climbCharacteristic
Indicates a characteristic or property related to how an entity climbs or performs climbing actions.
-
B.
typicalCliffStyle
chosen
Indicates that something exhibits the characteristic or standard style commonly associated with cliffs.
-
C.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
-
D.
cliffOrientation
Indicates the directional facing or alignment of a cliff relative to a reference frame (e.g., compass direction or slope aspect).
-
E.
cliffMaterial
Indicates that a cliff is composed of or primarily made from a specified material.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db215e208190aa9b307766440b9d |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82fef788190b9ad19a36c0312dc |
completed | May 3, 2026, 5:08 a.m. |
Created at: May 1, 2026, 1:31 a.m.