Triple
T7435252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaren District |
E171595
|
entity |
| Predicate | hasAreaScale |
P6822
|
FINISHED |
| Object | small area |
—
|
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: small area | Statement: [Yaren District, hasAreaScale, small area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAreaScale Context triple: [Yaren District, hasAreaScale, small area]
-
A.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
B.
hasAreaRange
Indicates that something’s area falls within a specified minimum-to-maximum range.
-
C.
hasAreaType
chosen
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
D.
hasScale
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
E.
hasAreaTotal
Indicates the total surface area associated with an entity, typically measured over its entire extent.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f328cf6081908bea065639fd3620 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.