Triple
T769295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikola Tesla Museum |
E16244
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object |
Vračar
Vračar is a central urban municipality of Belgrade, Serbia, known for its cultural landmarks, dense urban fabric, and historical significance.
|
E91300
|
NE FINISHED |
How this triple was built (4 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: Vračar | Statement: [Nikola Tesla Museum, locatedInDistrict, Vračar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vračar Context triple: [Nikola Tesla Museum, locatedInDistrict, Vračar]
-
A.
Fida'i
Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
-
B.
Poglavnik
Poglavnik was the title used for the fascist leader of the World War II-era Independent State of Croatia, most notably held by Ante Pavelić.
-
C.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
D.
Redłowo
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
-
E.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vračar Triple: [Nikola Tesla Museum, locatedInDistrict, Vračar]
Generated description
Vračar is a central urban municipality of Belgrade, Serbia, known for its cultural landmarks, dense urban fabric, and historical significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vračar Target entity description: Vračar is a central urban municipality of Belgrade, Serbia, known for its cultural landmarks, dense urban fabric, and historical significance.
-
A.
Fida'i
Fida'i is the national anthem of the State of Palestine, expressing Palestinian identity, struggle, and aspirations for freedom and self-determination.
-
B.
Poglavnik
Poglavnik was the title used for the fascist leader of the World War II-era Independent State of Croatia, most notably held by Ante Pavelić.
-
C.
Stavka
Stavka was the high command of the Soviet armed forces during World War II, responsible for overall strategic direction and coordination of military operations.
-
D.
Redłowo
Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
-
E.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
- F. None of above. chosen
Provenance (5 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a70376988190be2826259f5281ab |
completed | March 1, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66678f7ac819095eafccf44c6588e |
completed | March 3, 2026, 4:41 a.m. |
| NEDg | Description generation | batch_69a6698255d4819095df00abfe896eac |
completed | March 3, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a66a495cf08190b3a2e2002c089634 |
completed | March 3, 2026, 4:57 a.m. |
Created at: March 1, 2026, 7:37 p.m.