Triple
T36990363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm–DeKalb–Hart Historic District |
E915078
|
entity |
| Predicate | streetPatternIncludes |
P187256
|
FINISHED |
| Object | Stockholm Street |
—
|
NE NERFINISHED |
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: Stockholm Street | Statement: [Stockholm–DeKalb–Hart Historic District, streetPatternIncludes, Stockholm Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetPatternIncludes Context triple: [Stockholm–DeKalb–Hart Historic District, streetPatternIncludes, Stockholm Street]
-
A.
streetAddressContains
Indicates that one street address string includes another address-related string as a substring or component.
-
B.
streetPatternFocusedOn
Indicates a relationship where a street pattern is organized, oriented, or designed with primary emphasis on a particular feature, area, or organizing element.
-
C.
streetPatternNamedFor
Indicates that a street pattern or layout is named in honor of, or derived from, a particular entity.
-
D.
hasNearbyStreetPattern
Indicates that one location has a street layout or configuration that is spatially close to, or in the vicinity of, another location’s street pattern.
-
E.
streetPatternChangedBy
Indicates that a change in the configuration, layout, or organization of a street network was caused or implemented by a specific agent or process.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.