Triple
T20679910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ochimus |
E508263
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Actis |
—
|
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: Actis | Statement: [Ochimus, siblingOf, Actis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Actis Context triple: [Ochimus, siblingOf, Actis]
-
A.
Actis
chosen
Actis is a figure from Greek mythology, traditionally known as one of the Heliadae and associated with the island of Rhodes.
-
B.
Aglientu
Aglientu is a small coastal town and comune in the Gallura region of northern Sardinia, Italy, known for its scenic beaches and rural landscapes.
-
C.
Aeromar
Aeromar is a Mexican regional airline that primarily operates domestic and short-haul international flights, with a major operational base in Mexico City.
-
D.
Navigo
Navigo is the contactless smart card ticketing system used for public transportation across the Île-de-France region, including Paris.
-
E.
Damel
Damel was the royal title borne by the kings of the precolonial Wolof kingdom of Cayor in what is now Senegal.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea516b88190b3e90d03fa981a44 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:44 a.m.