Triple
T11470900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTtransit Hartford (express routes to UConn) |
E271902
|
entity |
| Predicate | servicePurpose |
P99462
|
FINISHED |
| Object | university access |
—
|
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: university access | Statement: [CTtransit Hartford (express routes to UConn), servicePurpose, university access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servicePurpose Context triple: [CTtransit Hartford (express routes to UConn), servicePurpose, university access]
-
A.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
B.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
C.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
D.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
E.
operationalPurpose
Indicates the function, role, or intended use that an entity is designed or configured to perform in an operational context.
- F. None of above. chosen
Provenance (4 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:35 p.m.