Triple
T15955329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazar Hrebeljanović |
E386919
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Prilepac
Prilepac is a medieval fortress in present-day Serbia, best known as the birthplace of Prince Lazar Hrebeljanović, a key figure in Serbian history.
|
E1199735
|
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: Prilepac | Statement: [Lazar Hrebeljanović, birthPlace, Prilepac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prilepac Context triple: [Lazar Hrebeljanović, birthPlace, Prilepac]
-
A.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
B.
Rekovac
Rekovac is a small town and municipality in central Serbia, situated in the Pomoravlje District.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
E.
Rakovica
Rakovica is a village and municipality in central Croatia known for its natural surroundings and proximity to the Plitvice Lakes area.
- 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: Prilepac Triple: [Lazar Hrebeljanović, birthPlace, Prilepac]
Generated description
Prilepac is a medieval fortress in present-day Serbia, best known as the birthplace of Prince Lazar Hrebeljanović, a key figure in Serbian history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prilepac Target entity description: Prilepac is a medieval fortress in present-day Serbia, best known as the birthplace of Prince Lazar Hrebeljanović, a key figure in Serbian history.
-
A.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
B.
Rekovac
Rekovac is a small town and municipality in central Serbia, situated in the Pomoravlje District.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Rakovica
Rakovica is a suburban municipality of Belgrade, Serbia, known for its mixed residential and industrial areas and proximity to forested landscapes.
-
E.
Rakovica
Rakovica is a village and municipality in central Croatia known for its natural surroundings and proximity to the Plitvice Lakes area.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f94b108190905d295c3405860e |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee76e9481908e74c32cb8263875 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00036dc34c8190b485267687f0a7f8 |
completed | May 10, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003c6e65881909dc4cc3398690455 |
completed | May 10, 2026, 4:04 a.m. |
Created at: April 10, 2026, 4:53 a.m.