Triple
T14300450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andritsaina-Krestena municipality |
E354546
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Krestena
Krestena is a small town in western Greece, located in the regional unit of Elis in the Peloponnese.
|
E1092058
|
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: Krestena | Statement: [Andritsaina-Krestena municipality, contains, Krestena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krestena Context triple: [Andritsaina-Krestena municipality, contains, Krestena]
-
A.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
B.
Krestinsky
Krestinsky is a Russian surname most notably associated with Nikolai Krestinsky, a Soviet politician and diplomat active during the early years of the USSR.
-
C.
Kresttsy
Kresttsy is a rural locality in Novgorod Oblast, Russia, known historically as a small settlement along important regional transport routes.
-
D.
Bogorodica
Bogorodica is a small settlement in the Gevgelija region of southeastern North Macedonia, known for its proximity to the Greek border and its role as a local transit point.
-
E.
Voskresensk
Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
- 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: Krestena Triple: [Andritsaina-Krestena municipality, contains, Krestena]
Generated description
Krestena is a small town in western Greece, located in the regional unit of Elis in the Peloponnese.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krestena Target entity description: Krestena is a small town in western Greece, located in the regional unit of Elis in the Peloponnese.
-
A.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
B.
Krestinsky
Krestinsky is a Russian surname most notably associated with Nikolai Krestinsky, a Soviet politician and diplomat active during the early years of the USSR.
-
C.
Kresttsy
Kresttsy is a rural locality in Novgorod Oblast, Russia, known historically as a small settlement along important regional transport routes.
-
D.
Bogorodica
Bogorodica is a small settlement in the Gevgelija region of southeastern North Macedonia, known for its proximity to the Greek border and its role as a local transit point.
-
E.
Voskresensk
Voskresensk is a town in Moscow Oblast, Russia, known for its industrial base and strong ice hockey tradition.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2697648190beade47df424a9e5 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd41335b308190b1d49b214d5206a1 |
completed | May 8, 2026, 1:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd41fcd8b08190802e54e1c18b58e2 |
completed | May 8, 2026, 1:53 a.m. |
Created at: April 10, 2026, 1:11 a.m.