Triple
T15945052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamer |
E386662
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Arbore |
E837601
|
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: Arbore | Statement: [Hamer, neighboringLanguages, Arbore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbore Context triple: [Hamer, neighboringLanguages, Arbore]
-
A.
Arbore
chosen
Arbore is a Cushitic language spoken by the Arbore people of southern Ethiopia.
-
B.
Arbory
Arbory is a rural parish in the south of the Isle of Man, known for its agricultural landscape and traditional Manx village communities.
-
C.
Treene
The Treene is a river in northern Germany that flows through the state of Schleswig-Holstein and ultimately drains into the Eider River.
-
D.
Aralia
Aralia is a genus of flowering plants in the ginseng family, known for its ornamental foliage and sometimes spiny shrubs or trees found mainly in Asia and the Americas.
-
E.
Tilia
Tilia is a genus of deciduous trees commonly known as lindens or lime trees, valued for their fragrant flowers, heart-shaped leaves, and use in ornamental planting and herbal remedies.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5beabbc8190977f14c1b3ccdf29 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.