Triple
T24363404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lika River |
E614126
|
entity |
| Predicate | watercourseCharacteristic |
P128972
|
FINISHED |
| Object | intermittent surface flow |
—
|
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: intermittent surface flow | Statement: [Lika River, watercourseCharacteristic, intermittent surface flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watercourseCharacteristic Context triple: [Lika River, watercourseCharacteristic, intermittent surface flow]
-
A.
watercourseFeature
Indicates that a feature is a physical characteristic or component associated with a watercourse (such as a river, stream, or canal).
-
B.
watercourseShape
Indicates the geometric form or outline that a watercourse (such as a river or stream) follows.
-
C.
hydrologicalCharacteristic
Indicates a relationship where a hydrological feature or condition (such as water flow, level, or behavior) characterizes or describes another entity.
-
D.
hasRiverineCharacteristic
chosen
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
E.
hydrologyFeature
Indicates a relationship where one entity is a hydrological feature (such as a body or flow of water) associated with or characterizing 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29385d0d48190b04154fcc3efe49a |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.