Triple
T20856262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 220 |
E513488
|
entity |
| Predicate | safetySystem |
P840
|
FINISHED |
| Object | OTMR |
—
|
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: OTMR | Statement: [British Rail Class 220, safetySystem, OTMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OTMR Context triple: [British Rail Class 220, safetySystem, OTMR]
-
A.
OTMR
chosen
OTMR is an on-train data recording system used on British rail vehicles to log operational and safety-related information for monitoring and incident investigation.
-
B.
OMTR
OMTR was the NASDAQ stock ticker symbol for Omniture, a web analytics and online marketing optimization company later acquired by Adobe.
-
C.
OTZ
OTZ is the IATA airport code for Ralph Wien Memorial Airport, a public airport serving Kotzebue in northwestern Alaska, United States.
-
D.
TMR
TMR is the Queensland Government agency responsible for planning, managing, and regulating the state’s transport systems and major road infrastructure.
-
E.
TMO
TMO is the stock ticker symbol for Thermo Fisher Scientific, a leading global provider of scientific instruments, reagents, and laboratory services.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a81ac4819084a07625b8ed4ec5 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.