Triple
T7156579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | باب المندب |
E166826
|
entity |
| Predicate | يتكون من |
P14960
|
FINISHED |
| Object | قناة شرقية رئيسية |
—
|
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: قناة شرقية رئيسية | Statement: [باب المندب, يتكون من, قناة شرقية رئيسية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتكون من Context triple: [باب المندب, يتكون من, قناة شرقية رئيسية]
-
A.
constitutedBy
chosen
Indicates that something is made up of, composed from, or formed by the specified parts or elements.
-
B.
componentFrom
Indicates that one entity is derived from, produced by, or originates as a component of another entity.
-
C.
formedBy
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
-
D.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
E.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80dafdc8190b24863b83f084d12 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:47 p.m.