Triple
T14816608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ananyiv Uyezd |
E348333
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Ananyiv |
E1122504
|
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: Ananyiv | Statement: [Ananyiv Uyezd, administrativeCenter, Ananyiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananyiv Context triple: [Ananyiv Uyezd, administrativeCenter, Ananyiv]
-
A.
Ananyiv
chosen
Ananyiv is a town in Odesa Oblast, Ukraine, historically known as an administrative center in the region.
-
B.
Anyuak
The Anyuak are a Nilotic ethnic group primarily inhabiting parts of South Sudan and western Ethiopia, known for their agro-pastoral lifestyle and rich oral traditions.
-
C.
Anisy
Anisy is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Anif
Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
-
E.
Anying
Anying is the given name of Mao Anying, the eldest son of Chinese leader Mao Zedong who was killed in action during the Korean War.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f8b4148190bc24f9a307178419 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:49 a.m.