Triple
T15978542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyanya Rebellion |
E387511
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Anyanya I |
E387506
|
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: Anyanya I | Statement: [Anyanya Rebellion, hasPart, Anyanya I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anyanya I Context triple: [Anyanya Rebellion, hasPart, Anyanya I]
-
A.
Anyanya II
Anyanya II was a southern Sudanese rebel movement that emerged after the original Anyanya insurgency, continuing the armed struggle for autonomy and rights in what is now South Sudan.
-
B.
Anyanya
chosen
Anyanya was a southern Sudanese separatist rebel movement that fought for independence from the northern-dominated government during the First Sudanese Civil War.
-
C.
Anya-Nya
Anya-Nya was a Southern Sudanese separatist rebel movement that fought against the Sudanese government during the First Sudanese Civil War (1955–1972).
-
D.
Anyama
Anyama is a town located within Ogbia Local Government Area in Bayelsa State, southern Nigeria.
-
E.
Nyanya
Nyanya is a suburban district on the outskirts of Abuja, Nigeria’s capital, known for its busy transport hub and residential communities.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575362e081909ff36e4d3c15ff2f |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc6f4c08190b816bf6d92114ad2 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:54 a.m.