Triple
T36641380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiberius Julius Celsus Polemaeanus |
E904594
|
entity |
| Predicate | honorificMonumentType |
P25584
|
FINISHED |
| Object | library |
—
|
LITERAL 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: library | Statement: [Tiberius Julius Celsus Polemaeanus, honorificMonumentType, library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificMonumentType Context triple: [Tiberius Julius Celsus Polemaeanus, honorificMonumentType, library]
-
A.
monumentType
chosen
Indicates the specific kind or category of monument that an entity is classified as.
-
B.
monumentName
Indicates the specific name assigned to a monument associated with an entity.
-
C.
memorialType
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
D.
monumentSubject
Indicates that the subject serves as the monument or commemorative structure associated with another entity.
-
E.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
- 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_69f76e6c63e48190b1d0c3a79a6c7406 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.