Triple
T27428949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delaware Route 72 |
E690571
|
entity |
| Predicate | connectsLandUseTypes |
P179237
|
FINISHED |
| Object | suburban residential areas |
—
|
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: suburban residential areas | Statement: [Delaware Route 72, connectsLandUseTypes, suburban residential areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLandUseTypes Context triple: [Delaware Route 72, connectsLandUseTypes, suburban residential areas]
-
A.
servesLandUseType
Indicates that one entity functions to support, accommodate, or provide services for a specified land use type.
-
B.
crossesLandUseType
chosen
Indicates that one entity extends across or passes through an area characterized by a particular land use type.
-
C.
supportsLandUseConnection
Indicates that one entity provides backing, justification, or linkage for a particular land use relationship or association between locations or land-use elements.
-
D.
majorLandUse
Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
-
E.
landUseContext
Indicates the contextual setting or circumstances under which a particular piece of land is used or designated for a specific purpose.
- 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_69ef52003fb48190b0f1295246182a86 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 27, 2026, 12:41 p.m.