Triple
T7017058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mawsynram |
E162722
|
entity |
| Predicate | rainfallMeasurementMethod |
P52567
|
FINISHED |
| Object | rain gauge observations |
—
|
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: rain gauge observations | Statement: [Mawsynram, rainfallMeasurementMethod, rain gauge observations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rainfallMeasurementMethod Context triple: [Mawsynram, rainfallMeasurementMethod, rain gauge observations]
-
A.
usesMeasurementTechnique
chosen
Indicates that an entity performs, applies, or relies on a specified measurement technique to obtain quantitative or qualitative data.
-
B.
measureType
Indicates the specific kind or category of measurement that characterizes how a quantity or value is assessed.
-
C.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
D.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
E.
rainfallImpact
Indicates how rainfall influences or alters the condition, behavior, or outcome of a target entity or process.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.