Triple
T14945498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connect Transit |
E372645
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Connect Transit |
E372645
|
NE 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: Connect Transit | Statement: [Connect Transit, shortName, Connect Transit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connect Transit Context triple: [Connect Transit, shortName, Connect Transit]
-
A.
Connect Transit
chosen
Connect Transit is the primary public bus system serving the Bloomington–Normal metropolitan area in Illinois.
-
B.
Transit Bureau
The Transit Bureau is the division of the New York City Police Department responsible for policing and ensuring safety within the city’s public transit system, particularly the subway.
-
C.
Greenway Public Transportation
Greenway Public Transportation is a regional public transit agency providing bus and demand-response services in and around Newton, North Carolina.
-
D.
Advance Transit
Advance Transit is a fare-free regional public bus system serving Lebanon, New Hampshire and surrounding Upper Valley communities.
-
E.
Transit
"Transit" is a 1944 novel by German writer Anna Seghers that portrays refugees, identity, and displacement in Marseille during World War II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.