Triple
T1989732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lalibela |
E43223
|
entity |
| Predicate | hasChurch |
P15000
|
FINISHED |
| Object |
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
|
E225063
|
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: Bete Denagel | Statement: [Lalibela, hasChurch, Bete Denagel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bete Denagel Context triple: [Lalibela, hasChurch, Bete Denagel]
-
A.
Toni Merkens
Toni Merkens was a German track cyclist best known for winning the gold medal in the sprint event at the 1936 Berlin Olympics.
-
B.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
C.
Jan Asselijn
Jan Asselijn was a 17th-century Dutch Golden Age painter known for his landscapes and animal scenes, including the famous political allegory "The Threatened Swan."
-
D.
Theo de Meester
Theo de Meester was a Dutch liberal politician who served as Prime Minister of the Netherlands in the early 20th century.
-
E.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
- 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: Bete Denagel Triple: [Lalibela, hasChurch, Bete Denagel]
Generated description
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bete Denagel Target entity description: Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
-
A.
Toni Merkens
Toni Merkens was a German track cyclist best known for winning the gold medal in the sprint event at the 1936 Berlin Olympics.
-
B.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
C.
Jan Asselijn
Jan Asselijn was a 17th-century Dutch Golden Age painter known for his landscapes and animal scenes, including the famous political allegory "The Threatened Swan."
-
D.
Theo de Meester
Theo de Meester was a Dutch liberal politician who served as Prime Minister of the Netherlands in the early 20th century.
-
E.
Annik Penders
Annik Penders is a Belgian communications professional best known as the wife of Belgian Prime Minister Alexander De Croo.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8434cec819087842e2c9537df9e |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ad7c254819091159c5362e7a293 |
completed | March 8, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69ae0b62dd048190acf6f9d76e5bfd47 |
completed | March 8, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0be695cc819093c237e19de9b731 |
completed | March 8, 2026, 11:53 p.m. |
Created at: March 4, 2026, 7:37 p.m.