Triple
T2862098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divine Liturgy of the Ethiopian Church |
E63344
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Tabot
Tabot is a consecrated replica of the Ark of the Covenant central to Ethiopian Orthodox worship and the celebration of the Divine Liturgy.
|
E305584
|
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: Tabot | Statement: [Divine Liturgy of the Ethiopian Church, associatedWith, Tabot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabot Context triple: [Divine Liturgy of the Ethiopian Church, associatedWith, Tabot]
-
A.
Shagbat
Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
-
B.
Banzi
Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
-
C.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
D.
Cobi
Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
-
E.
Bubi
Bubi is the nickname of Erich Hartmann, the German World War II fighter pilot who became history’s highest-scoring flying ace.
- 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: Tabot Triple: [Divine Liturgy of the Ethiopian Church, associatedWith, Tabot]
Generated description
Tabot is a consecrated replica of the Ark of the Covenant central to Ethiopian Orthodox worship and the celebration of the Divine Liturgy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabot Target entity description: Tabot is a consecrated replica of the Ark of the Covenant central to Ethiopian Orthodox worship and the celebration of the Divine Liturgy.
-
A.
Shagbat
Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
-
B.
Banzi
Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
-
C.
Quatchi
Quatchi is a sasquatch character who served as one of the official mascots of the 2010 Winter Olympics in Vancouver.
-
D.
Cobi
Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
-
E.
Bubi
Bubi is a Bantu language spoken by the Bubi people, primarily on Bioko Island in Equatorial Guinea.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf8df8288190816767169ea7cbf9 |
completed | March 7, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d9b820c8190991bae0e936eed9c |
completed | March 10, 2026, 1:33 p.m. |
| NEDg | Description generation | batch_69b020568f348190b9c603c21c65187d |
completed | March 10, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020da12b08190851caee1996a76eb |
completed | March 10, 2026, 1:47 p.m. |
Created at: March 6, 2026, 10:02 p.m.