Triple
T6073003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amboise |
E135329
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Bled |
E399792
|
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: Bled | Statement: [Amboise, twinTown, Bled]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bled Context triple: [Amboise, twinTown, Bled]
-
A.
Bled
chosen
Bled is a picturesque Slovenian town in the Julian Alps, famed for its glacial lake with an island church and a medieval clifftop castle.
-
B.
Bled Island
Bled Island is a picturesque, forested islet in Slovenia’s Lake Bled, famed for its hilltop church and iconic alpine scenery.
-
C.
Siscia
Siscia was an important ancient Roman city and military center in the province of Pannonia, located at the site of modern-day Sisak in Croatia.
-
D.
Poreč
Poreč is a historic coastal town and popular tourist resort on Croatia’s Istrian Peninsula, known for its well-preserved Roman layout and the UNESCO-listed Euphrasian Basilica.
-
E.
Ptuj
Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05759d29481908912015e734ab943 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125274e1c8190b452fdeeb788a6f2 |
completed | March 23, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:11 p.m.