Triple
T14293584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajcsy-Zsilinszky út station |
E354379
|
entity |
| Predicate | hasOriginalConstructionPeriod |
P53662
|
FINISHED |
| Object | late 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: late 19th century | Statement: [Bajcsy-Zsilinszky út station, hasOriginalConstructionPeriod, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalConstructionPeriod Context triple: [Bajcsy-Zsilinszky út station, hasOriginalConstructionPeriod, late 19th century]
-
A.
originallyBuilt
Indicates that one entity was the first or initial builder or constructor of another entity.
-
B.
predecessorBuildingDate
Indicates that one building’s construction date precedes that of another building in a temporal sequence.
-
C.
hasBuildingPeriod
chosen
Indicates that a building or structure is associated with a specific time period during which it was constructed or significantly developed.
-
D.
hasOriginalBuildings
Indicates that an entity possesses or still retains its initial or historically first-constructed buildings.
-
E.
wasOriginallyBuiltAs
Indicates that an object or structure was initially constructed for a particular purpose, function, or role, which may differ from its current use.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de7179368081908117a9ccfbf94fd4 |
completed | April 14, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.