Triple
T13412786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stefan Dečanski |
E320130
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object |
Zvečan
Zvečan is a historic town and municipality in northern Kosovo, known for its medieval fortress and strategic location near Kosovska Mitrovica.
|
E1038892
|
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: Zvečan | Statement: [Stefan Dečanski, deathPlace, Zvečan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zvečan Context triple: [Stefan Dečanski, deathPlace, Zvečan]
-
A.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
B.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
-
C.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
- 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: Zvečan Triple: [Stefan Dečanski, deathPlace, Zvečan]
Generated description
Zvečan is a historic town and municipality in northern Kosovo, known for its medieval fortress and strategic location near Kosovska Mitrovica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zvečan Target entity description: Zvečan is a historic town and municipality in northern Kosovo, known for its medieval fortress and strategic location near Kosovska Mitrovica.
-
A.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
-
B.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
-
C.
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
D.
Orzola
Orzola is a small fishing village and port at the northern tip of Lanzarote in the Canary Islands, known as the main departure point for ferries to the nearby island of La Graciosa.
-
E.
Vlašim
Vlašim is a small Czech town known for its historic château, English-style park, and location in the Central Bohemian Region southeast of Prague.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb556948190af008c88e5bbf051 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:35 p.m.