Triple
T14556306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennes–Saint-Jacques Airport |
E341550
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
RNS
RNS is the IATA airport code for Rennes–Saint-Jacques Airport, the main commercial airport serving Rennes in western France.
|
E1105991
|
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: RNS | Statement: [Rennes–Saint-Jacques Airport, IATAcode, RNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RNS Context triple: [Rennes–Saint-Jacques Airport, IATAcode, RNS]
-
A.
RNS
RNS is a music producer best known for working on the Wu-Tang Clan-affiliated album "8 Diagrams."
-
B.
RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
C.
RSN
RSN is the maritime branch of Singapore’s armed forces, responsible for safeguarding the nation’s territorial waters and maritime interests.
-
D.
BNS
BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
-
E.
BNS
BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
- 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: RNS Triple: [Rennes–Saint-Jacques Airport, IATAcode, RNS]
Generated description
RNS is the IATA airport code for Rennes–Saint-Jacques Airport, the main commercial airport serving Rennes in western France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RNS Target entity description: RNS is the IATA airport code for Rennes–Saint-Jacques Airport, the main commercial airport serving Rennes in western France.
-
A.
RNS
RNS is a music producer best known for working on the Wu-Tang Clan-affiliated album "8 Diagrams."
-
B.
RSN
RSN is the common abbreviation for Red Sox Nation, the passionate fan base of Major League Baseball’s Boston Red Sox.
-
C.
RSN
RSN is the maritime branch of Singapore’s armed forces, responsible for safeguarding the nation’s territorial waters and maritime interests.
-
D.
BNS
BNS is the stock ticker symbol for the Bank of Nova Scotia, one of Canada’s largest multinational banks.
-
E.
BNS
BNS is the main national multipurpose sports stadium in Dhaka, Bangladesh, historically used for major football and cricket events.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f1490881908673f429e5288c86 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8abde0308190819da6867e703ea7 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8bb3c1188190b158d30e9c962911 |
completed | May 8, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8c6e7d448190835f87e27c998623 |
completed | May 8, 2026, 7:10 a.m. |
Created at: April 10, 2026, 1:23 a.m.