Triple
T19157863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Saint Jerome |
E468971
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | O.S.H. |
—
|
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: O.S.H. | Statement: [Order of Saint Jerome, hasAbbreviation, O.S.H.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O.S.H. Context triple: [Order of Saint Jerome, hasAbbreviation, O.S.H.]
-
A.
O.S.H.
chosen
O.S.H. is the standard post-nominal abbreviation used by members of the Catholic religious order known as the Order of Saint Jerome.
-
B.
O.S.A.
O.S.A. is the standard post-nominal abbreviation used for members of the Order of Saint Augustine, a Roman Catholic religious order.
-
C.
Ospel
Ospel is a village in the Dutch province of Limburg, known as a gateway to the nearby De Groote Peel National Park and its peatland landscapes.
-
D.
O.B.S.
O.B.S. is the post-nominal abbreviation used to denote recipients of the Silver class of Senegal’s national honor, the Order of the Baobab.
-
E.
Osha
Osha is a character portrayed by actress Hannah John-Kamen, known from the science fiction series "Killjoys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.