Triple
T13846435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hron River |
E332816
|
entity |
| Predicate | rankByLengthInSlovakia |
P111736
|
FINISHED |
| Object | second-longest river entirely in Slovakia |
—
|
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: second-longest river entirely in Slovakia | Statement: [Hron River, rankByLengthInSlovakia, second-longest river entirely in Slovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByLengthInSlovakia Context triple: [Hron River, rankByLengthInSlovakia, second-longest river entirely in Slovakia]
-
A.
lengthInSlovakia
Indicates the extent or distance of something measured specifically within the territory of Slovakia.
-
B.
rankingByLengthInSwitzerland
Indicates that entities are ordered or evaluated based on their length within the context of Switzerland.
-
C.
numberInSlovak
Indicates that a given number is expressed or represented in the Slovak language.
-
D.
rankByLengthInEurope
Indicates that entities are ordered or compared based on their length specifically within the context of Europe.
-
E.
nameInSlovak
Indicates that an entity is known or referred to by a specific name in the Slovak language.
- F. None of above. chosen
Provenance (4 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b1a25c8190a9f85ba43c421188 |
completed | April 14, 2026, 9:02 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:13 p.m.