Triple
T7776272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bete Maryam |
E221397
|
entity |
| Predicate | nearbyChurch |
P29505
|
FINISHED |
| Object | Bete Denagel |
E225063
|
NE FINISHED |
How this triple was built (2 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: [Bete Maryam, nearbyChurch, Bete Denagel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bete Denagel Context triple: [Bete Maryam, nearbyChurch, Bete Denagel]
-
A.
Bete Denagel
chosen
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.
-
B.
Dani van Velthoven
Dani van Velthoven is a Dutch singer who gained national fame after winning the popular televised talent competition The Voice of Holland.
-
C.
Marc de Jonge
Marc de Jonge was a French actor best known internationally for playing the Soviet Colonel Zaysen in the action film "Rambo III."
-
D.
Arie van Bennekum
Arie van Bennekum is a Dutch agile thought leader and consultant best known as one of the original co-authors of the Agile Manifesto.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae9375dcc8190a6cb696c02aeceb7 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb136bafb88190a6f980622317df76 |
completed | March 31, 2026, 12:20 a.m. |
Created at: March 30, 2026, 4:09 p.m.