Triple
T8251432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dikhil Region |
E192965
|
entity |
| Predicate | borderDirectionFromCapital |
P81198
|
FINISHED |
| Object | southwest of Djibouti City |
—
|
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: southwest of Djibouti City | Statement: [Dikhil Region, borderDirectionFromCapital, southwest of Djibouti City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderDirectionFromCapital Context triple: [Dikhil Region, borderDirectionFromCapital, southwest of Djibouti City]
-
A.
countryBorderDirection
Indicates the cardinal or relative direction in which one country lies in relation to the border it shares with another country.
-
B.
borderDirectionRelativeToNewYork
Indicates the compass direction in which an entity’s border lies relative to the location of New York.
-
C.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
-
D.
borderDirectionFromKentucky
Indicates the compass direction in which another region lies relative to Kentucky along their shared border.
-
E.
borderDefinedBy
Indicates that the boundary or limit of one entity is determined, shaped, or delineated by another entity.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c935408190b9196a849a8d3a3e |
completed | March 31, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.