Triple
T13110650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheb region |
E310960
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Aš |
E370428
|
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: Aš | Statement: [Cheb region, containsTown, Aš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aš Context triple: [Cheb region, containsTown, Aš]
-
A.
Aš
chosen
Aš is a town in the Karlovy Vary Region of the Czech Republic, located near the German border and known for its textile industry and borderland history.
-
B.
Aku
Aku is the shape-shifting demon overlord and primary villain who rules the dystopian future opposed by Samurai Jack in the animated series "Samurai Jack."
-
C.
Ako
Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
-
D.
Atsi
Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
-
E.
Apsaras
Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.