Triple
T21916884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ATS-SN |
E541202
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | ATS-S |
—
|
NE NERFINISHED |
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: ATS-S | Statement: [ATS-SN, basedOn, ATS-S]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATS-S Context triple: [ATS-SN, basedOn, ATS-S]
-
A.
ATS-SN
chosen
ATS-SN is a Japanese automatic train stop safety system used on conventional railway lines to prevent trains from passing signals at danger.
-
B.
ATS-SW
ATS-SW is a type of automatic train stop and protection system used on Japanese railway lines to enhance operational safety.
-
C.
ATS-P
ATS-P is an advanced Japanese train protection and automatic train stop system that provides continuous speed supervision and enhances railway safety on lines such as those using the E233 series EMU.
-
D.
ATS
ATS is a North American accrediting and membership organization for graduate schools of theology and ministry.
-
E.
ATS
ATS is an automatic train protection system used to enhance the operational safety of the ITX-Saemaeul passenger trains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233858308190a877d8015db4d380 |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:43 p.m.