Triple
T28366008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA bus route CT2 |
E718488
|
entity |
| Predicate | connectsInstitution |
P193652
|
FINISHED |
| Object | Massachusetts Institute of Technology |
—
|
NE NERFINISHED |
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: Massachusetts Institute of Technology | Statement: [MBTA bus route CT2, connectsInstitution, Massachusetts Institute of Technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsInstitution Context triple: [MBTA bus route CT2, connectsInstitution, Massachusetts Institute of Technology]
-
A.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
B.
settingInstitution
Indicates that an entity is associated with or occurs within a particular institution that serves as its setting or context.
-
C.
associatedInstitution
Indicates that an entity has a formal connection or affiliation with a particular institution.
-
D.
centralInstitutionOf
Indicates that one institution serves as the primary or main institutional center for another entity, such as an organization, system, or region.
-
E.
commonInstitution
Indicates that two or more entities share affiliation with the same institution (such as an organization, school, or company).
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69fd4f38728c8190b3271abc80882cfb |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 28, 2026, 12:55 a.m.