Triple
T1282920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 33rd Street station (PATH) |
E27366
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | PATH system |
E21015
|
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: PATH system | Statement: [33rd Street station (PATH), partOf, PATH system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PATH system Context triple: [33rd Street station (PATH), partOf, PATH system]
-
A.
PATH
chosen
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
-
B.
PATH train system
The PATH train system is a rapid transit network linking New Jersey’s Hudson County and other nearby areas with Manhattan, serving as a key commuter rail connection under the Hudson River.
-
C.
Pace fare system
The Pace fare system is the payment and ticketing system used by Pace, the suburban bus division serving the Chicago metropolitan area.
-
D.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b47be08190828a1c0a11d94ce8 |
completed | March 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2fdb3ac81909bc836e2a655130c |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.