Triple
T22862346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Region (Ghana) |
E566959
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Elubo |
—
|
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: Elubo | Statement: [Western Region (Ghana), contains, Elubo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elubo Context triple: [Western Region (Ghana), contains, Elubo]
-
A.
Elubo
chosen
Elubo is a border town in southwestern Ghana that serves as a key transit point for trade and travel between Ghana and Côte d'Ivoire.
-
B.
Muldaur
Muldaur is the surname of American actress Diana Muldaur, known for her roles in television series such as Star Trek and L.A. Law.
-
C.
Umbar
Umbar is a notorious Corsair haven and seaport in J.R.R. Tolkien’s Middle-earth, known for its seafaring raiders and long enmity with Gondor.
-
D.
Northuldra
The Northuldra are a fictional indigenous people in Disney's Frozen franchise, closely connected to nature and elemental magic within the Enchanted Forest.
-
E.
Isenach
The Isenach is a small river in the Rhineland-Palatinate region of Germany that flows through the Palatinate Forest and several wine-growing towns before joining the Rhine.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17efdc3b08190be03d856aa86b277 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:37 p.m.