Triple
T12658609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Street |
E302353
|
entity |
| Predicate | hasBuildingStockPeriod |
P85130
|
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: [Warren Street, hasBuildingStockPeriod, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingStockPeriod Context triple: [Warren Street, hasBuildingStockPeriod, 19th century]
-
A.
hasBuildingStock
Indicates that an entity possesses or includes a collection or inventory of buildings.
-
B.
hasBuildingPeriod
Indicates that a building or structure is associated with a specific time period during which it was constructed or significantly developed.
-
C.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
D.
hasStockPosition
Indicates that an entity holds a quantity of a particular stock, typically specifying ownership, size, and possibly direction (long or short) of the investment position.
-
E.
hasBuildingFrom
chosen
Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.