Triple
T798743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Concord |
E17079
|
entity |
| Predicate | hasCommuterRole |
P3916
|
FINISHED |
| Object | park-and-ride location |
—
|
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: park-and-ride location | Statement: [West Concord, hasCommuterRole, park-and-ride location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommuterRole Context triple: [West Concord, hasCommuterRole, park-and-ride location]
-
A.
hasCommuterPattern
Indicates that there is a characteristic or recurring pattern in how an entity regularly travels between locations, typically for work or daily activities.
-
B.
hasCommuterOrientation
chosen
Indicates that an entity is designed or intended primarily for use by commuters, emphasizing suitability for regular travel between home and work or study.
-
C.
isCommuterRegionFor
Indicates that one region primarily serves as a residential base whose inhabitants regularly travel to another region for work or daily activities.
-
D.
hasUrbanRole
Indicates that an entity plays a specific functional or social role within an urban or city context.
-
E.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a5122a008190b0c621b7bc588d41 |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.