Triple
T7225960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panacea |
E154778
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Aceso |
E154779
|
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: Aceso | Statement: [Panacea, sibling, Aceso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aceso Context triple: [Panacea, sibling, Aceso]
-
A.
Aceso
chosen
Aceso is a minor Greek goddess associated with the process of healing and the curing of illness.
-
B.
Portazgo
Portazgo is a Madrid Metro station serving the Portazgo neighborhood in the Puente de Vallecas district of Madrid, Spain.
-
C.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
D.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
E.
Teston Lock
Teston Lock is a navigation lock on the River Medway in Kent, England, used to manage river levels and enable boat passage.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9de21e081908f30700f6211c5ef |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d38686ac819098705463a65dec87 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:54 p.m.