Triple
T14685640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endeavour railcar |
E344900
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Xplorer railcar |
E344899
|
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: Xplorer railcar | Statement: [Endeavour railcar, relatedTo, Xplorer railcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xplorer railcar Context triple: [Endeavour railcar, relatedTo, Xplorer railcar]
-
A.
Endeavour railcar
The Endeavour railcar is a class of diesel multiple unit passenger trains operating regional and intercity services in New South Wales, Australia.
-
B.
Xplorer train
chosen
The Xplorer train is a diesel multiple unit passenger train used for regional and long-distance services in New South Wales, Australia.
-
C.
M6 railcar
The M6 railcar is an electric multiple unit commuter train used by Metro-North Railroad, known for serving the New Haven Line between New York and Connecticut.
-
D.
M4 railcar
The M4 railcar is an electric multiple-unit passenger train used in commuter rail service, notably on lines such as the New Haven Line.
-
E.
PA5 railcar
The PA5 railcar is a modern electric multiple unit train used on the PATH rapid transit system serving New York and New Jersey.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb56bdb8081909ff86440ba20fb1f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cde041081908ae2f2c75a9d5eb2 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.