Triple
T37417474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Area Transportation Authority |
E929753
|
entity |
| Predicate | primaryCustomerGroup |
P82393
|
FINISHED |
| Object | commuters |
—
|
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: commuters | Statement: [Capital Area Transportation Authority, primaryCustomerGroup, commuters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCustomerGroup Context triple: [Capital Area Transportation Authority, primaryCustomerGroup, commuters]
-
A.
customerGroup
chosen
Indicates a relationship in which an entity belongs to, is classified under, or is associated with a particular group of customers.
-
B.
primaryCustomersInUniverse
Indicates that certain customers are designated as the main or most significant customers within a defined overall customer set or universe.
-
C.
primaryClientGroup
Indicates the main group of clients that an entity primarily serves or is chiefly associated with.
-
D.
majorCustomer
Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
-
E.
primaryVisitorsType
Indicates the main category or type of visitors that predominantly engage with or are targeted by an entity.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.