Triple
T33382730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabon–Republic of the Congo border |
E854827
|
entity |
| Predicate | countryOnBorder |
P202715
|
FINISHED |
| Object | Gabon |
—
|
NE NERFINISHED |
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: Gabon | Statement: [Gabon–Republic of the Congo border, countryOnBorder, Gabon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOnBorder Context triple: [Gabon–Republic of the Congo border, countryOnBorder, Gabon]
-
A.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
countryBorders
Indicates that two countries share a common boundary or border with each other.
-
C.
hasCountryBorderWith
Indicates that two countries share a common land or maritime boundary.
-
D.
borderCountries
Indicates that one country shares a land or maritime boundary with another country.
-
E.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified state.
- 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_69f3496d54048190a1cb91fdd7caa6ea |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00af6b3a948190a92813c13384c304 |
completed | May 10, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_6a00aec35610819085dd5137715a4228 |
completed | May 10, 2026, 4:13 p.m. |
| PDg | Predicate description generation | batch_6a00af6a5ffc819095c7331518a09f53 |
completed | May 10, 2026, 4:16 p.m. |
Created at: May 1, 2026, 1:35 a.m.