Triple
T3612840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eco |
E76527
|
entity |
| Predicate | geographicalScope |
P82
|
FINISHED |
| Object | Liberia |
E6007
|
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: Liberia | Statement: [Eco, geographicalScope, Liberia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liberia Context triple: [Eco, geographicalScope, Liberia]
-
A.
Liberia
chosen
Liberia is a West African nation founded by formerly enslaved people from the United States, known for being Africa’s first modern republic and maintaining close historical ties with the U.S.
-
B.
Sierra Leone
Sierra Leone is a West African nation on the Atlantic coast, known for its diamond resources, diverse cultures, and history as a center for freed slaves.
-
C.
Guinea
Guinea is a West African country on the Atlantic coast known for its rich mineral resources, diverse ethnic groups, and role as a major producer of bauxite.
-
D.
Central African Republic
The Central African Republic is a landlocked, resource-rich but politically unstable country in Central Africa that has experienced recurrent conflict and humanitarian crises.
-
E.
Côte d'Ivoire
Côte d'Ivoire is a West African country on the Gulf of Guinea known for its cocoa production, diverse cultures, and economic prominence in the region.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2786f808190be4e42734a79d74e |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432e768308190a5476e660111e573 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.