Triple
T20986972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stratton Street |
E516914
|
entity |
| Predicate | hasSideStreetCharacter |
P142379
|
FINISHED |
| Object | short street |
—
|
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: short street | Statement: [Stratton Street, hasSideStreetCharacter, short street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideStreetCharacter Context triple: [Stratton Street, hasSideStreetCharacter, short street]
-
A.
hasSideStreetType
Indicates that an entity (such as a street or road segment) is associated with a specific type or classification of side street.
-
B.
hasSideStreetRole
Indicates that an entity holds a specific functional or contextual role in relation to a side street.
-
C.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
D.
hasConnectingStreet
Indicates that two locations are linked by a street that directly connects them.
-
E.
hasStreetLifeCharacteristic
Indicates that an entity exhibits a particular quality, feature, or condition related to street life or street-level activity.
- 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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbe3fbac819086d3079aaddca5b1 |
completed | April 21, 2026, 4:24 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:49 p.m.