Triple
T2793949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mureș River |
E52991
|
entity |
| Predicate | lengthInRomania |
P33049
|
FINISHED |
| Object | approximately 761 km |
—
|
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: approximately 761 km | Statement: [Mureș River, lengthInRomania, approximately 761 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInRomania Context triple: [Mureș River, lengthInRomania, approximately 761 km]
-
A.
distanceToBucharest
Indicates the physical distance between a given location and the city of Bucharest.
-
B.
lengthInKm
chosen
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
rankByLengthInEurope
Indicates that entities are ordered or compared based on their length specifically within the context of Europe.
-
E.
mainStraightLengthKm
Indicates the length, measured in kilometers, of the primary straight segment associated with the 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.