Triple
T33779211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Atlas of Language Structures |
E865605
|
entity |
| Predicate | numberOfFeatures |
P111144
|
FINISHED |
| Object | 192 |
—
|
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: 192 | Statement: [World Atlas of Language Structures, numberOfFeatures, 192]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFeatures Context triple: [World Atlas of Language Structures, numberOfFeatures, 192]
-
A.
hasNumberOfFeaturesDescribed
Indicates that an entity is associated with a specific count of its features that have been described.
-
B.
numberOfAttributes
chosen
Indicates the total count of distinct attributes or properties associated with a given entity or object.
-
C.
typicalNumberOfComponents
Indicates the usual or standard count of distinct components that an entity is expected to have.
-
D.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
-
E.
dimensionCount
Indicates the number of distinct dimensions or axes associated with an entity or data structure.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03544239d4819087b6c232d6804977 |
completed | May 12, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_6a0353d685688190b01df77fc2f62bf2 |
completed | May 12, 2026, 4:22 p.m. |
Created at: May 1, 2026, 1:45 a.m.