Triple
T5407798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenva Spur |
E120935
|
entity |
| Predicate | isOnFace |
P63245
|
FINISHED |
| Object | east face of Mont Blanc |
—
|
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: east face of Mont Blanc | Statement: [Brenva Spur, isOnFace, east face of Mont Blanc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnFace Context triple: [Brenva Spur, isOnFace, east face of Mont Blanc]
-
A.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
-
B.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
C.
designedToFace
Indicates that one entity has been intentionally oriented or configured so that its front, surface, or primary direction points toward another entity or reference direction.
-
D.
faceValueType
Indicates the type or category of a financial instrument’s face (nominal) value, such as how that value is defined or represented.
-
E.
facedBy
Indicates that one entity is oriented toward and directly opposite another entity, such that it is facing it.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8793ab3c81909992b257d462a554 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd865702ec8190831bde2c2a331f28 |
completed | March 20, 2026, 5:39 p.m. |
Created at: March 20, 2026, 2:05 p.m.