Triple
T20569862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oum Er-Rbia River |
E505065
|
entity |
| Predicate | rankByLengthInMorocco |
P18229
|
FINISHED |
| Object | second-longest river in Morocco |
—
|
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 in Morocco | Statement: [Oum Er-Rbia River, rankByLengthInMorocco, second-longest river in Morocco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByLengthInMorocco Context triple: [Oum Er-Rbia River, rankByLengthInMorocco, second-longest river in Morocco]
-
A.
MoroccanStrengthApprox
Indicates an approximate assessment or estimation of the strength associated with Morocco or Moroccan-related entities.
-
B.
rankByLength
chosen
Indicates ordering a set of items based on their length, typically from shortest to longest or vice versa.
-
C.
rankByLengthInEurope
Indicates that entities are ordered or compared based on their length specifically within the context of Europe.
-
D.
rankingByLengthInItaly
Indicates the relative ordering of entities based on their length within the context of Italy.
-
E.
MoroccanRuler
Indicates a person holds or held the position of ruler over Morocco.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a4b90c81909854dac72f671eec |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.