Triple
T1338308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nederlandse Spoorwegen |
E28405
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | NedTrain |
E153681
|
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: NedTrain | Statement: [Nederlandse Spoorwegen, hasSubsidiary, NedTrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NedTrain Context triple: [Nederlandse Spoorwegen, hasSubsidiary, NedTrain]
-
A.
NedTrain
chosen
NedTrain is a Dutch company specializing in the maintenance, repair, and servicing of rolling stock for the national railway network.
-
B.
Z train
The Z train is a New York City Subway rush-hour, skip-stop service that runs along the J line in Brooklyn and Queens, providing limited-stop service between Jamaica Center and lower Manhattan.
-
C.
Ned
Ned is a common English diminutive form of the given name Edward.
-
D.
NED
NED is the commonly used abbreviation for the Nuclear Engineering Division, a specialized unit focused on research, development, and applications of nuclear science and engineering.
-
E.
Auto Train
Auto Train is a long-distance Amtrak service that carries both passengers and their vehicles nonstop between the Washington, D.C. area and central Florida.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2115d388190b031ae2de1296f8a |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce660ccc8190abc6cdceaf09101c |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:56 p.m.