Triple
T36628153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSA |
E904231
|
entity |
| Predicate | orderNameInLatin |
P186216
|
FINISHED |
| Object | Ordo Sancti Augustini |
—
|
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: Ordo Sancti Augustini | Statement: [OSA, orderNameInLatin, Ordo Sancti Augustini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderNameInLatin Context triple: [OSA, orderNameInLatin, Ordo Sancti Augustini]
-
A.
orderName
Indicates the designated name or label assigned to a specific order in a transaction or ordering process.
-
B.
nameInLatinAlphabet
Indicates that an entity’s name is written or represented using the Latin alphabet.
-
C.
nameOrderInHungarian
Indicates the conventional ordering of personal name components as used in Hungarian (typically family name followed by given name).
-
D.
innerOrderName
Indicates the name or label assigned to an internal or subordinate order within a larger ordering or process.
-
E.
romanizedOrder
Indicates that the entities are arranged or compared according to the order of their romanized (Latin-script) representations.
- F. None of above. chosen
Provenance (4 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.