Triple
T29642156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabon border near Ebebiyín |
E755889
|
entity |
| Predicate | borderSettlementOnEquatorialGuineaSide |
P195390
|
FINISHED |
| Object | Ebebiyín |
—
|
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: Ebebiyín | Statement: [Gabon border near Ebebiyín, borderSettlementOnEquatorialGuineaSide, Ebebiyín]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSettlementOnEquatorialGuineaSide Context triple: [Gabon border near Ebebiyín, borderSettlementOnEquatorialGuineaSide, Ebebiyín]
-
A.
statusInEquatorialGuinea
Indicates the legal, social, or functional standing or condition that something or someone has within the context of Equatorial Guinea.
-
B.
nearbyAdministrativeDivision_EquatorialGuinea
Indicates that one administrative division is geographically close to another administrative division within Equatorial Guinea.
-
C.
officialStatusInEquatorialGuinea
Indicates that an entity holds an official or formally recognized status within the jurisdiction of Equatorial Guinea.
-
D.
borderTypeToNiger
Indicates the type or nature of the border that an entity shares with Niger.
-
E.
borderTypeWithAngola
Indicates the type or nature of the border relationship that an entity has with Angola.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
| PDg | Predicate description generation | batch_69fdd07724f88190a33ec602642d2ea3 |
completed | May 8, 2026, noon |
Created at: April 28, 2026, 6:47 p.m.