Triple
T13730615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State rail system |
E329786
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Schenectady |
E58524
|
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: Schenectady | Statement: [New York State rail system, connects, Schenectady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schenectady Context triple: [New York State rail system, connects, Schenectady]
-
A.
Schenectady, New York
chosen
Schenectady, New York is a historic city in eastern New York State known for its role in early American industry and as a former hub of General Electric and the American locomotive industry.
-
B.
Utica
Utica was an ancient Phoenician colony in North Africa that became one of the earliest and most important urban centers in the western Mediterranean.
-
C.
Utica
Utica is a small town in Hinds County, Mississippi, known for its rural character and historic Southern setting.
-
D.
Útica
Útica is a small Colombian town known for its warm climate and location in the Gualivá region of the Cundinamarca department.
-
E.
Rensselaer
Rensselaer is a masculine given name of English origin, now rare, that has historically appeared in the United States.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5da6a2081909dcc9785598e1196 |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 9, 2026, 9:55 p.m.