Triple
T25967967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جيبوتي |
E645726
|
entity |
| Predicate | المحيط_المتصل |
P17378
|
FINISHED |
| Object | المحيط الهندي |
—
|
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: المحيط الهندي | Statement: [جيبوتي, المحيط_المتصل, المحيط الهندي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المحيط_المتصل Context triple: [جيبوتي, المحيط_المتصل, المحيط الهندي]
-
A.
соединяетМоре
Indicates that one entity connects or links a sea to another geographic feature or body of water.
-
B.
seaConnection
Indicates a relationship where two places are connected or accessible to each other via the sea, such as by maritime routes or coastal adjacency.
-
C.
oceanicPortion
chosen
Indicates that one entity is a part or segment of an ocean or oceanic area in relation to another entity.
-
D.
oceanicCounterpart
Indicates that one entity serves as the corresponding or analogous counterpart to another specifically within an oceanic or marine context.
-
E.
adjacentSea
Indicates that one geographic entity directly borders or is next to a particular sea.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.