Triple
T26595419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benfleet |
E667476
|
entity |
| Predicate | isCommuterArea |
P46264
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Benfleet, isCommuterArea, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCommuterArea Context triple: [Benfleet, isCommuterArea, true]
-
A.
isCommuterRegionFor
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
-
B.
isCommuterHub
Indicates that a location functions as a central node where many commuters start, end, or transfer during their regular travel.
-
C.
hasCommuterPopulation
chosen
Indicates that a place has a significant number of people who regularly travel to or from it for work, study, or other routine activities.
-
D.
isWithinMetroArea
Indicates that one location lies inside the geographic boundaries of a specified metropolitan area.
-
E.
isSuburbanArea
Indicates that a location is characterized as a suburban area, typically lying between urban and rural regions and exhibiting suburban development patterns.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:10 a.m.