Triple
T35117990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aba |
E1013493
|
entity |
| Predicate | economicRoleInAbiaState |
P121759
|
FINISHED |
| Object | major contributor to state GDP |
—
|
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: major contributor to state GDP | Statement: [Aba, economicRoleInAbiaState, major contributor to state GDP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRoleInAbiaState Context triple: [Aba, economicRoleInAbiaState, major contributor to state GDP]
-
A.
roleInNigeria
Indicates that an entity holds or has held a specific role, position, or function within the context of Nigeria.
-
B.
stateOfOriginRole
chosen
Indicates that a role or position is associated with, or originates from, a particular state or region.
-
C.
positionOnGovernmentRoleInEconomy
Indicates a stance or viewpoint regarding how much and in what ways the government should intervene or participate in the economy.
-
D.
roleAtOklahomaState
Indicates that an entity holds or held a specific role or position at Oklahoma State University.
-
E.
roleAtAlabama
Indicates that an entity holds or held a specific role or position at the University of Alabama.
- 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_69f76dd659d08190bcdc00d37caafb62 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.