Triple
T14628691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier de la Lex Blanche |
E343420
|
entity |
| Predicate | naturalCategory |
P115101
|
FINISHED |
| Object | physical geographic feature |
—
|
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: physical geographic feature | Statement: [Glacier de la Lex Blanche, naturalCategory, physical geographic feature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: naturalCategory Context triple: [Glacier de la Lex Blanche, naturalCategory, physical geographic feature]
-
A.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
B.
textCategory
Indicates that a piece of text belongs to or is classified under a particular category or type.
-
C.
categoryLabel_N
Indicates that an entity is assigned a specific categorical label or classification name.
-
D.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
-
E.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.