Triple
T7873954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fa d’Ambô |
E182804
|
entity |
| Predicate | officialStatusInEquatorialGuinea |
P79497
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Fa d’Ambô, officialStatusInEquatorialGuinea, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialStatusInEquatorialGuinea Context triple: [Fa d’Ambô, officialStatusInEquatorialGuinea, none]
-
A.
statusInEcuador
Indicates the legal, social, or official condition or standing that an entity has within the context of Ecuador.
-
B.
statusInAngola
Indicates the legal, social, or operational standing or condition that something or someone has within the context of Angola.
-
C.
statusInNamibia
Indicates that an entity holds a particular legal, social, or operational status within the context or jurisdiction of Namibia.
-
D.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
-
E.
GulfOfGuineaCommissionMember
Indicates that an entity is a member of the Gulf of Guinea Commission, participating in its regional cooperation and governance activities.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39a7f1648190980db4db1a800189 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:56 p.m.