Triple
T12386141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warri River |
E295868
|
entity |
| Predicate | hasSettlementOnBank |
P1010
|
FINISHED |
| Object | Ifie |
E323846
|
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: Ifie | Statement: [Warri River, hasSettlementOnBank, Ifie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifie Context triple: [Warri River, hasSettlementOnBank, Ifie]
-
A.
Ifè
Ifè is a Niger-Congo language spoken primarily in Togo and Benin by the Ifè (Ana) people.
-
B.
Ifen
Ifen is a distinctive mountain massif in the Allgäu Alps, known for its broad plateau, steep rock faces, and popular hiking and skiing terrain.
-
C.
Ifon
chosen
Ifon is a notable town in southwestern Nigeria that serves as an important local center within Ondo State.
-
D.
Ifalik
Ifalik is a small, traditional coral atoll in the western Pacific Ocean that is part of the Federated States of Micronesia and known for its preserved Micronesian culture and navigation practices.
-
E.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
Created at: April 8, 2026, 9:54 p.m.