Triple
T7238572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blagnac |
E155294
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Bistrița |
E292702
|
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: Bistrița | Statement: [Blagnac, hasTwinTown, Bistrița]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bistrița Context triple: [Blagnac, hasTwinTown, Bistrița]
-
A.
Bistrița
chosen
Bistrița is a historic town in northern Transylvania, Romania, known for its medieval architecture and long-standing Transylvanian Saxon heritage.
-
B.
Timiș
Timiș is a river in Central and Eastern Europe that flows through the Banat region of Romania and Serbia before joining the Danube.
-
C.
Dâmbovița River
The Dâmbovița River is a central Romanian waterway that flows through and historically shaped the development of Bucharest.
-
D.
Arieș River
The Arieș River is a significant river in western Romania that flows through the Apuseni Mountains and the historical region of Transylvania.
-
E.
Olteț River
The Olteț River is a tributary watercourse in southern Romania that flows through several counties before joining the larger Olt 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d38efa4c8190abd6434188d8c58f |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:55 p.m.