Triple
T18406170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Bar |
E450128
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Luka Bar
Luka Bar is the main seaport of Montenegro, located in the coastal town of Bar on the Adriatic Sea.
|
E1324641
|
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: Luka Bar | Statement: [Port of Bar, hasAlternativeName, Luka Bar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luka Bar Context triple: [Port of Bar, hasAlternativeName, Luka Bar]
-
A.
Luka
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
-
B.
Luka
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
-
C.
Luka
"Luka" is a 1987 folk-pop song by Suzanne Vega that poignantly addresses the subject of child abuse from a child's perspective.
-
D.
Luka Pecel
Luka Pecel is the husband of American actress Sasha Alexander, known for her roles in television series such as "NCIS" and "Rizzoli & Isles."
-
E.
Luka Kovač
Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
- 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: Luka Bar Triple: [Port of Bar, hasAlternativeName, Luka Bar]
Generated description
Luka Bar is the main seaport of Montenegro, located in the coastal town of Bar on the Adriatic Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luka Bar Target entity description: Luka Bar is the main seaport of Montenegro, located in the coastal town of Bar on the Adriatic Sea.
-
A.
Luka
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
-
B.
Luka
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
-
C.
Luka
"Luka" is a 1987 folk-pop song by Suzanne Vega that poignantly addresses the subject of child abuse from a child's perspective.
-
D.
Luka Pecel
Luka Pecel is the husband of American actress Sasha Alexander, known for her roles in television series such as "NCIS" and "Rizzoli & Isles."
-
E.
Luka Kovač
Luka Kovač is a fictional Croatian emergency room physician and central character on the television series "ER."
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51957ac7081909a2dd2b2308e4170 |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fd232348190888f25e5e5848805 |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a041042aaec8190b5e6aeebb3a2feef |
completed | May 13, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0410ac44708190a3759bd69ba508ca |
completed | May 13, 2026, 5:48 a.m. |
Created at: April 10, 2026, 10:46 a.m.