Triple
T17034508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laage Air Base |
E413286
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object |
RLG
RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
|
E1245725
|
NE FINISHED |
How this triple was built (4 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: RLG | Statement: [Laage Air Base, IATACode, RLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RLG Context triple: [Laage Air Base, IATACode, RLG]
-
A.
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.
-
B.
RGL
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
-
C.
RLD
RLD is an Indian political party, primarily influential in the state of Uttar Pradesh, known for representing agrarian and rural interests.
-
D.
RLU
RLU is the ICAO airline designator assigned to the Russian regional carrier RusLine.
-
E.
RLM
RLM was the abbreviation for the Reich Air Ministry, the government department responsible for overseeing aviation and the Luftwaffe in Nazi Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RLG Triple: [Laage Air Base, IATACode, RLG]
Generated description
RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RLG Target entity description: RLG is the IATA airport code for Laage Air Base, a military and civilian airport near Rostock in northern Germany.
-
A.
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.
-
B.
RGL
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
-
C.
RLD
RLD is an Indian political party, primarily influential in the state of Uttar Pradesh, known for representing agrarian and rural interests.
-
D.
RLU
RLU is the ICAO airline designator assigned to the Russian regional carrier RusLine.
-
E.
RLM
RLM was the abbreviation for the Reich Air Ministry, the government department responsible for overseeing aviation and the Luftwaffe in Nazi Germany.
- F. None of above. chosen
Provenance (5 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f05824819091d2aa02e5591e26 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b59ad3c8190914ee6f8c903cbbf |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c13076c8190970abfb0e2d3a13c |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.