Triple
T29679090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alwa |
E750901
|
entity |
| Predicate | successorStateInRegion |
P3025
|
FINISHED |
| Object | Funj Sultanate |
—
|
NE NERFINISHED |
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: Funj Sultanate | Statement: [Alwa, successorStateInRegion, Funj Sultanate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorStateInRegion Context triple: [Alwa, successorStateInRegion, Funj Sultanate]
-
A.
successorInRegion
Indicates that one entity directly follows or replaces another within a specified region or jurisdiction.
-
B.
successorState
chosen
Indicates that one state directly follows another as the immediate next state in a sequence or process.
-
C.
successorArea
Indicates that one area directly follows or replaces another area in a defined sequence, progression, or versioning of areas.
-
D.
successorStateLocation
Indicates that one location represents the state or position that directly follows another location in a defined sequence or process.
-
E.
successorStateInSouth
Indicates that one state is the subsequent or following state of another within a southern region or context.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
Created at: April 28, 2026, 7:09 p.m.