Triple
T1781007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West End (Hartford) |
E39289
|
entity |
| Predicate | hasBuildingScale |
P3868
|
FINISHED |
| Object | low- to medium-density housing |
—
|
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: low- to medium-density housing | Statement: [West End (Hartford), hasBuildingScale, low- to medium-density housing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingScale Context triple: [West End (Hartford), hasBuildingScale, low- to medium-density housing]
-
A.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
B.
hasBuildingHeightType
Indicates the classification or type used to characterize the height of a building in the relationship.
-
C.
hasBuildingFunction
Indicates that a building is used for or serves a particular function or purpose.
-
D.
hasScale
chosen
Indicates that one entity possesses or is characterized by a scale or graduated measurement system related to another entity.
-
E.
buildingLevels
Indicates the number of floors or levels that a building has.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.