Triple
T188651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Africa |
E3669
|
entity |
| Predicate | province |
P604
|
FINISHED |
| Object | Free State |
E8042
|
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: Free State | Statement: [South Africa, province, Free State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Free State Context triple: [South Africa, province, Free State]
-
A.
Free State
The Free State is a nickname for the U.S. state of Maryland, reflecting its historical stance on issues such as Prohibition and personal liberties.
-
B.
Free State
chosen
The Free State is a central South African province known for its vast farmlands, Afrikaans-speaking communities, and historic role in the former Orange Free State republic.
-
C.
Republic of Texas
The Republic of Texas was an independent sovereign nation in North America from 1836 to 1845, formed after winning independence from Mexico before later joining the United States.
-
D.
The Last Frontier
The Last Frontier is a popular nickname for Alaska, highlighting its vast wilderness, remoteness, and relatively undeveloped natural landscapes.
-
E.
Cottonopolis
Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594abeec8190a48f36817e647fcd |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30287094c8190ad4669e856a29f6c |
completed | Feb. 28, 2026, 2:58 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.