Triple
T14618680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veliko Tarnovo Province |
E343155
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Debelets |
E909249
|
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: Debelets | Statement: [Veliko Tarnovo Province, containsCity, Debelets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debelets Context triple: [Veliko Tarnovo Province, containsCity, Debelets]
-
A.
Debelets
chosen
Debelets is a settlement in Bulgaria situated along the Yantra River.
-
B.
Souletin
Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
-
C.
Kanteletar
Kanteletar is a seminal 19th-century collection of Finnish folk lyric poetry and songs that complements the Kalevala and is central to Finland’s literary and cultural heritage.
-
D.
Bondoufle
Bondoufle is a commune in the southern suburbs of Paris, located in the Essonne department in Île-de-France, France.
-
E.
Bitchois
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.