Triple
T10351712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Boulevard of Budapest |
E243895
|
entity |
| Predicate | hasEraOfManyBuildings |
P86303
|
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: [Grand Boulevard of Budapest, hasEraOfManyBuildings, late 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEraOfManyBuildings Context triple: [Grand Boulevard of Budapest, hasEraOfManyBuildings, late 19th century]
-
A.
eraOfManyBuildings
chosen
Indicates a time period during which many buildings were constructed or existed.
-
B.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
C.
hasFormerBuilding
Indicates that an entity previously occupied or used a different building, which is identified as its former building.
-
D.
hasPreservedBuildings
Indicates that an entity possesses buildings that have been maintained or kept in their original or historical condition.
-
E.
hasOriginalBuildings
Indicates that an entity possesses or still retains its initial or historically first-constructed buildings.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9489f9481908fc1c818e81c1cc2 |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:57 a.m.