Triple
T14261009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SacRT Bus |
E353515
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | SacRT Light Rail |
E353514
|
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: SacRT Light Rail | Statement: [SacRT Bus, connectsWith, SacRT Light Rail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SacRT Light Rail Context triple: [SacRT Bus, connectsWith, SacRT Light Rail]
-
A.
SacRT Light Rail
chosen
SacRT Light Rail is the electric light rail transit system serving Sacramento, California and its surrounding communities.
-
B.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
C.
RTD light rail
RTD light rail is a regional light rail transit system serving the Denver metropolitan area in Colorado, operated by the Regional Transportation District.
-
D.
DART Light Rail
DART Light Rail is a light rail transit system serving the Dallas–Fort Worth metropolitan area, operated by Dallas Area Rapid Transit.
-
E.
Ring 3 Light Rail
Ring 3 Light Rail is a planned light rail line in the Copenhagen metropolitan area designed to connect suburbs along the city’s Ring 3 corridor and improve orbital public transport.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3260fdf88190b482480a17bd6674 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.