Triple
T22823506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luyanó |
E565287
|
entity |
| Predicate | hasBuildingStockAge |
P32323
|
FINISHED |
| Object | many buildings from first half of 20th 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: many buildings from first half of 20th century | Statement: [Luyanó, hasBuildingStockAge, many buildings from first half of 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingStockAge Context triple: [Luyanó, hasBuildingStockAge, many buildings from first half of 20th century]
-
A.
hasBuildingStock
Indicates that an entity possesses or includes a collection or inventory of buildings.
-
B.
hasHousingStockAge
chosen
Indicates the relationship between an entity and the age or period of construction of its available housing stock.
-
C.
hasBuildingPeriod
Indicates that a building or structure is associated with a specific time period during which it was constructed or significantly developed.
-
D.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
E.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd2005081909baef070124eb839 |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:34 p.m.