Triple
T16751726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Cameroon |
E407096
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object | Equatorial Guinea |
E7031
|
NE 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: Equatorial Guinea | Statement: [Southern Cameroon, hasBorder, Equatorial Guinea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Equatorial Guinea Context triple: [Southern Cameroon, hasBorder, Equatorial Guinea]
-
A.
Equatorial Guinea
chosen
Equatorial Guinea is a small Central African country on the Atlantic coast, known for its significant oil reserves and unique status as the only African nation where Spanish is an official language.
-
B.
Gabon
Gabon is a Central African country on the Atlantic coast, known for its equatorial rainforests, rich biodiversity, and significant oil reserves.
-
C.
La Guinea
La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
-
D.
Cameroon
Cameroon is a Central African country known for its cultural and linguistic diversity, varied geography from coast to rainforest and savanna, and a mixed French-English colonial heritage.
-
E.
São Tomé and Príncipe
São Tomé and Príncipe is a small Portuguese-speaking island nation in the Gulf of Guinea off Central Africa, known for its tropical climate, biodiversity, and cocoa production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf588bc8190adcc512eaa8d91e8 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.