Triple
T9488151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malakoff |
E228814
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Tuzla |
E180190
|
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: Tuzla | Statement: [Malakoff, hasTwinTown, Tuzla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuzla Context triple: [Malakoff, hasTwinTown, Tuzla]
-
A.
Tuzla
Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
-
B.
Tuzla
chosen
Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
-
C.
Banja Luka
Banja Luka is the second-largest city of Bosnia and Herzegovina and the administrative center of the Republika Srpska entity, known for its riverside setting, Austro-Hungarian architecture, and cultural life.
-
D.
Jajce
Jajce is a historic town in central Bosnia and Herzegovina known for its medieval fortress, picturesque waterfall, and key role in World War II as a political center of the Yugoslav resistance.
-
E.
Dorćol
Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c443b88190968d2092a73e1ee4 |
completed | April 1, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d18fd908190b562fa0a8dad7c63 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:55 p.m.