Triple
T11866185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elend (German) |
E282289
|
entity |
| Predicate | countability |
P73733
|
FINISHED |
| Object | usually uncountable |
—
|
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: usually uncountable | Statement: [Elend (German), countability, usually uncountable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countability Context triple: [Elend (German), countability, usually uncountable]
-
A.
count
Indicates the numerical quantity or total number of instances of a specified entity or event.
-
B.
cardinality
Indicates the number of distinct elements or members in a given set or collection.
-
C.
isSecondCountable
Indicates that a topological space has a countable base for its topology, meaning all open sets can be generated from a countable collection of basic open sets.
-
D.
alternativeCounting
Indicates that there exists another valid way of counting or enumerating the same set of items or events, distinct from the primary counting method.
-
E.
isUncountable
chosen
Indicates that the related entity denotes a mass or abstract concept that cannot be individually counted as discrete units.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73a233081909449ab294d01a512 |
completed | April 10, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69d8a2589f0c8190ad82ff11acabae93 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.