Triple
T1522412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai–Myanmar border |
E32258
|
entity |
| Predicate | lengthUnit |
P12631
|
FINISHED |
| Object | kilometre |
—
|
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: kilometre | Statement: [Thai–Myanmar border, lengthUnit, kilometre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthUnit Context triple: [Thai–Myanmar border, lengthUnit, kilometre]
-
A.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
B.
unitOfMeasure
chosen
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
dimensionSymbol
Indicates a symbolic notation that represents or labels a specific dimension or measurement attribute in a context.
-
E.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
- 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_69a885e9b0ac819093a9806ad0efc82c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.