Triple
T8953707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaneš |
E213419
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Neša |
E199137
|
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: Neša | Statement: [Kaneš, alsoKnownAs, Neša]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neša Context triple: [Kaneš, alsoKnownAs, Neša]
-
A.
Neša
chosen
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
B.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
C.
Marić
Marić is the Serbian family name of Mileva Marić, a pioneering physicist and mathematician known for her association with Albert Einstein.
-
D.
Pavlina
Pavlina is a feminine given name, commonly used in Slavic countries as a variant of names like Paulina.
-
E.
Dáša
Dáša is a common Czech and Slovak feminine given name, typically used as a diminutive form of Dagmar.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc670f88d0819085d7308a5cf6c764 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc210302c8190b1c062fcbcfeb0f6 |
completed | April 3, 2026, 1:35 p.m. |
Created at: March 30, 2026, 7 p.m.