Triple
T10706013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone Bridge |
E252405
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kamen Most
Kamen Most is the Macedonian name for the historic Stone Bridge that spans the Vardar River in Skopje, North Macedonia.
|
E880378
|
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: Kamen Most | Statement: [Stone Bridge, hasAlternativeName, Kamen Most]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamen Most Context triple: [Stone Bridge, hasAlternativeName, Kamen Most]
-
A.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
B.
Černý Most
Černý Most is a terminal station on Prague Metro’s Line B serving the large housing estate and commercial area of the same name in northeastern Prague.
-
C.
Zidani Most
Zidani Most is a small Slovenian settlement and important railway junction situated at the confluence of the Sava and Savinja rivers.
-
D.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
E.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
- 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: Kamen Most Triple: [Stone Bridge, hasAlternativeName, Kamen Most]
Generated description
Kamen Most is the Macedonian name for the historic Stone Bridge that spans the Vardar River in Skopje, North Macedonia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamen Most Target entity description: Kamen Most is the Macedonian name for the historic Stone Bridge that spans the Vardar River in Skopje, North Macedonia.
-
A.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
B.
Černý Most
Černý Most is a terminal station on Prague Metro’s Line B serving the large housing estate and commercial area of the same name in northeastern Prague.
-
C.
Zidani Most
Zidani Most is a small Slovenian settlement and important railway junction situated at the confluence of the Sava and Savinja rivers.
-
D.
Krusevac
Krusevac is a historic city in central Serbia that once served as the medieval capital under Prince Lazar and is now an important regional industrial and cultural center.
-
E.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddfbed48190810bb3faee473fde |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998fe56dc8190ae0c987b28ec6206 |
completed | April 11, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69da625a1e8c8190b282e7a70bb7c876 |
completed | April 11, 2026, 3:01 p.m. |
Created at: April 8, 2026, 9:12 p.m.