Triple
T16708833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Anka |
E406045
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Anka |
E652916
|
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: Anka | Statement: [Anna Anka, familyName, Anka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anka Context triple: [Anna Anka, familyName, Anka]
-
A.
Anka
chosen
Anka is a common diminutive form of the female given name Anna, used in several Slavic and Central European languages.
-
B.
Anka-A
Anka-A is an early variant of Turkey’s indigenous Anka unmanned aerial vehicle, designed primarily for medium-altitude, long-endurance surveillance and reconnaissance missions.
-
C.
Anka-S
Anka-S is a Turkish-made, satellite-controlled, medium-altitude long-endurance (MALE) unmanned aerial vehicle designed for extended surveillance and reconnaissance missions.
-
D.
Anka-B
Anka-B is an advanced variant of Turkey’s Anka unmanned aerial vehicle, featuring improved payload capacity, endurance, and surveillance capabilities for military reconnaissance and strike missions.
-
E.
Ani
Ani was a medieval Armenian city renowned for its wealth, architectural splendor, and status as a major cultural and political center on the Silk Road.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38650c3808190a561f22b169dc3ae |
completed | April 18, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d3adef081908692a4a86d7a0779 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.