Triple
T657566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Continental Free Trade Area |
E11680
|
entity |
| Predicate | phaseIISubject |
P8970
|
FINISHED |
| Object | investment |
—
|
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: investment | Statement: [African Continental Free Trade Area, phaseIISubject, investment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: phaseIISubject Context triple: [African Continental Free Trade Area, phaseIISubject, investment]
-
A.
phaseIIIDescription
Indicates that the entity has a textual description specifically about its Phase III stage in a process, study, or project.
-
B.
secondPhase
chosen
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
C.
isSubjectTo
Indicates that one entity is governed, affected, or constrained by the authority, rules, conditions, or influence of another entity.
-
D.
phase
Indicates that one entity is in a particular stage, step, or phase within a process, sequence, or lifecycle relative to another reference.
-
E.
administeredIn
Indicates that an action, treatment, or process is carried out or applied within a specific location, context, or jurisdiction.
- F. None of above.
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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69a49d121cec81909986c91291bb4ca8 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.