Triple
T22842053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Ektenia |
E566107
|
entity |
| Predicate | hasOriginalTerm |
P2920
|
FINISHED |
| Object |
Mala Ektenija
Mala Ektenija is a brief litany of petitions used in the Eastern Orthodox and Eastern Catholic liturgical services, typically chanted by the deacon or priest at the beginning of worship.
|
E1556974
|
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: Mala Ektenija | Statement: [Little Ektenia, hasOriginalTerm, Mala Ektenija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mala Ektenija Context triple: [Little Ektenia, hasOriginalTerm, Mala Ektenija]
-
A.
Šegota
Šegota is a Croatian surname most notably associated with former professional soccer player Branko Šegota.
-
B.
Malauzat
Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
-
C.
Svete
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
D.
Papuk
Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
-
E.
Malis
Malis is an ancient region of central Greece, near Thermopylae, known from classical Greek history and geography.
- 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: Mala Ektenija Triple: [Little Ektenia, hasOriginalTerm, Mala Ektenija]
Generated description
Mala Ektenija is a brief litany of petitions used in the Eastern Orthodox and Eastern Catholic liturgical services, typically chanted by the deacon or priest at the beginning of worship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mala Ektenija Target entity description: Mala Ektenija is a brief litany of petitions used in the Eastern Orthodox and Eastern Catholic liturgical services, typically chanted by the deacon or priest at the beginning of worship.
-
A.
Šegota
Šegota is a Croatian surname most notably associated with former professional soccer player Branko Šegota.
-
B.
Malauzat
Malauzat is a small commune in the Puy-de-Dôme department of central France, situated within the Auvergne region.
-
C.
Svete
Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
-
D.
Papuk
Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
-
E.
Malis
Malis is an ancient region of central Greece, near Thermopylae, known from classical Greek history and geography.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e855abc8190b9cf8cc515090a7f |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b750a08190904c11a33ea19cce |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba84676f8819099e4ad46797387d9 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba8fa53a88190a0029d884308ffd6 |
completed | May 19, 2026, 12:04 a.m. |
Created at: April 17, 2026, 3:35 p.m.