Triple
T6318878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voždovac |
E141684
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Autokomanda
Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
|
E585298
|
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: Autokomanda | Statement: [Voždovac, contains, Autokomanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autokomanda Context triple: [Voždovac, contains, Autokomanda]
-
A.
Autonoë
Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
Automat
"Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
-
D.
The Driver
The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
-
E.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
- 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: Autokomanda Triple: [Voždovac, contains, Autokomanda]
Generated description
Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Autokomanda Target entity description: Autokomanda is a major traffic junction and neighborhood in Belgrade, Serbia, known for its busy interchange connecting several key city districts.
-
A.
Autonoë
Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
Automat
"Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
-
D.
The Driver
The Driver is the laconic, unnamed street racer portrayed by James Taylor in the 1971 cult road movie "Two-Lane Blacktop."
-
E.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48485308190adc2208ad46faaa7 |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f50ea1f08190bc475eab7b3ec6f0 |
completed | March 27, 2026, 3:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f57691cc8190b07ecfa16d1eac20 |
completed | March 27, 2026, 3:11 a.m. |
Created at: March 22, 2026, 4:29 p.m.