Triple
T17705352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reich Ministry of Aviation |
E441416
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | RLM |
—
|
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: RLM | Statement: [Reich Ministry of Aviation, shortName, RLM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RLM Context triple: [Reich Ministry of Aviation, shortName, RLM]
-
A.
RLM
chosen
RLM was the abbreviation for the Reich Air Ministry, the government department responsible for overseeing aviation and the Luftwaffe in Nazi Germany.
-
B.
RMLAU
RMLAU is a public state university located in Ayodhya, Uttar Pradesh, India, offering undergraduate and postgraduate programs across various disciplines.
-
C.
RLG
RLG is the National Rail station code for Rayleigh railway station in Essex, England.
-
D.
RLG
RLG is the data vendor code used to identify the Russell 1000 Growth Index, a major U.S. equity benchmark focused on large-cap growth stocks.
-
E.
RLG
RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47297359481909629c79220e58245 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.