Triple
T10489671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheka Zone |
E247381
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Masha |
E867099
|
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: Masha | Statement: [Sheka Zone, hasMajorTown, Masha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masha Context triple: [Sheka Zone, hasMajorTown, Masha]
-
A.
Masha
chosen
Masha is a town in southwestern Ethiopia that serves as an administrative and commercial center in the Sheka Zone.
-
B.
Masha
Masha is a diminutive and affectionate Russian form of the given name Mary (Maria).
-
C.
Malvina
Malvina is a feminine given name of Scottish origin, often associated with literary and romantic traditions.
-
D.
Misha
Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
-
E.
Sashenka
Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097ca5c081908b47a08ca7885650 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933c5caa08190a5fba92ebf4b0ff9 |
completed | April 10, 2026, 5:30 p.m. |
Created at: April 6, 2026, 12:23 p.m.