Triple
T1596732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MetroLink light rail |
E34297
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | MetroLink |
E34297
|
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: MetroLink | Statement: [MetroLink light rail, hasAbbreviation, MetroLink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MetroLink Context triple: [MetroLink light rail, hasAbbreviation, MetroLink]
-
A.
MetroLink light rail
chosen
MetroLink light rail is the bi-state light rail transit system serving the Greater St. Louis area, providing regional passenger rail service across parts of Missouri and Illinois.
-
B.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
C.
Metra
Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
-
D.
MAX Light Rail
MAX Light Rail is the metropolitan light rail transit system serving the Portland, Oregon, metropolitan area.
-
E.
Houston METRORail
Houston METRORail is a light rail transit system serving the city of Houston, Texas, providing urban passenger rail service along several key corridors.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9092e46748190b27be7d1aba07dff |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a848ec819085c82be8eaea2044 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.