Triple
T31450521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debre Libanos Monastery |
E802308
|
entity |
| Predicate | hasRelicOrShrine |
P181786
|
FINISHED |
| Object | shrine of Saint Tekle Haymanot |
—
|
NE NERFINISHED |
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: shrine of Saint Tekle Haymanot | Statement: [Debre Libanos Monastery, hasRelicOrShrine, shrine of Saint Tekle Haymanot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelicOrShrine Context triple: [Debre Libanos Monastery, hasRelicOrShrine, shrine of Saint Tekle Haymanot]
-
A.
containsShrine
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
B.
hasShrines
chosen
Indicates that one entity contains, hosts, or is associated with one or more shrines dedicated to another entity.
-
C.
hasNearbyShrine
Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
-
D.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
E.
hasMainShrineMaterial
Indicates the primary material from which a shrine is constructed or predominantly made.
- F. None of above.
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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a016336c58081909c58c5772e6fb488 |
completed | May 11, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a0160f25d8081909a6aaa375e9850b0 |
completed | May 11, 2026, 4:54 a.m. |
Created at: April 30, 2026, 9:12 p.m.