Triple
T37264273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creole cottages |
E924339
|
entity |
| Predicate | setbackFromStreet |
P187357
|
FINISHED |
| Object | minimal setback |
—
|
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: minimal setback | Statement: [Creole cottages, setbackFromStreet, minimal setback]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setbackFromStreet Context triple: [Creole cottages, setbackFromStreet, minimal setback]
-
A.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
B.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
C.
hasNumberOfSidewalks
Indicates the quantity of sidewalks associated with or present along a given entity or location.
-
D.
streetFrontageOn
Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
-
E.
hasBuildingUseAlongStreet
Indicates that a building located along a particular street is used for a specified purpose or function in relation to that street.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb4134225081909fd60703b8cae397 |
completed | May 6, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69fb35bf767081908de8345358ca7f44 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb41333b548190912cb238ffc271c9 |
completed | May 6, 2026, 1:25 p.m. |
Created at: May 3, 2026, 4:15 p.m.