Triple
T21111901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstantin Päts |
E520192
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object |
Metsakalmistu
Metsakalmistu is a prominent cemetery in Tallinn, Estonia, known as the final resting place of many notable Estonian figures.
|
E1467954
|
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: Metsakalmistu | Statement: [Konstantin Päts, burialPlace, Metsakalmistu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metsakalmistu Context triple: [Konstantin Päts, burialPlace, Metsakalmistu]
-
A.
Metsakasti
Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
-
B.
Metsavennad
Metsavennad were Estonian anti-Soviet partisans who waged guerrilla resistance in the forests of Estonia during and after World War II.
-
C.
Mettet
Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
-
D.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
E.
Halluinois
Halluinois are the inhabitants or natives of the French commune of Halluin, located in the Nord department near the Belgian border.
- 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: Metsakalmistu Triple: [Konstantin Päts, burialPlace, Metsakalmistu]
Generated description
Metsakalmistu is a prominent cemetery in Tallinn, Estonia, known as the final resting place of many notable Estonian figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metsakalmistu Target entity description: Metsakalmistu is a prominent cemetery in Tallinn, Estonia, known as the final resting place of many notable Estonian figures.
-
A.
Metsakasti
Metsakasti is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
-
B.
Metsavennad
Metsavennad were Estonian anti-Soviet partisans who waged guerrilla resistance in the forests of Estonia during and after World War II.
-
C.
Mettet
Mettet is a municipality in Wallonia, Belgium, known for its rural character and the Circuit Jules Tacheny motor racing track.
-
D.
Matsesta
Matsesta is a spa and resort area near Sochi on Russia’s Black Sea coast, historically renowned for its therapeutic sulfur springs.
-
E.
Halluinois
Halluinois are the inhabitants or natives of the French commune of Halluin, located in the Nord department near the Belgian border.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72102d99c8190a1ea5a6981da6da0 |
completed | April 21, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965e013388190a058d84063e22694 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a09670987f0819086b021581db69c85 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0967cefab08190b01e2c897f081105 |
completed | May 17, 2026, 7:01 a.m. |
Created at: April 16, 2026, 2:54 p.m.