Triple
T6869097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anif Castle |
E158491
|
entity |
| Predicate | historicalPeriodOfCurrentForm |
P74212
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Anif Castle, historicalPeriodOfCurrentForm, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeriodOfCurrentForm Context triple: [Anif Castle, historicalPeriodOfCurrentForm, 19th century]
-
A.
historicalForm
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
B.
historicalPeriodOfTesting
Indicates the time period or era during which the testing activity or process took place.
-
C.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
D.
historicalFormation
Indicates the process or circumstances through which something came into existence or took shape over time in history.
-
E.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
- 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_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6da3b5510819093c5893ea92ac025 |
completed | March 27, 2026, 7:27 p.m. |
Created at: March 27, 2026, 2:22 p.m.