Triple
T22045869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negus of Shewa |
E544761
|
entity |
| Predicate | capitalAssociated |
P24465
|
FINISHED |
| Object | Ankober |
—
|
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: Ankober | Statement: [Negus of Shewa, capitalAssociated, Ankober]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankober Context triple: [Negus of Shewa, capitalAssociated, Ankober]
-
A.
Ankober
chosen
Ankober is a historic mountain town in central Ethiopia that once served as a royal seat and key political center of the Shewan kingdom.
-
B.
Ḍogrī
Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
-
C.
Ananuri
Ananuri is a historic castle complex in Georgia, renowned for its medieval fortifications and churches overlooking the Aragvi River.
-
D.
Angarano
Angarano is an Italian-origin surname most notably associated with American actor Michael Angarano.
-
E.
Kobuleti
Kobuleti is a Georgian Black Sea resort town known for its long pebble beaches and role as a popular holiday destination in the autonomous region of Adjara.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282e647481908e054b3ad19e2c15 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:26 p.m.