Triple
T13098269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyhaven Airport |
E310646
|
entity |
| Predicate | FAA LID |
P420
|
FINISHED |
| Object |
RCM
RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
|
E1019801
|
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: RCM | Statement: [Skyhaven Airport, FAA LID, RCM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCM Context triple: [Skyhaven Airport, FAA LID, RCM]
-
A.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
B.
RCM Library
RCM Library is the main music research and reference library of the Royal College of Music, housing extensive collections of scores, recordings, and archival materials for study and performance.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
RCD
RCD is a former dominant political party in Tunisia that ruled the country for decades under President Zine El Abidine Ben Ali until its dissolution after the 2011 revolution.
- 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: RCM Triple: [Skyhaven Airport, FAA LID, RCM]
Generated description
RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RCM Target entity description: RCM is the FAA location identifier assigned to Skyhaven Airport in the United States aviation system.
-
A.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
B.
RCM Library
RCM Library is the main music research and reference library of the Royal College of Music, housing extensive collections of scores, recordings, and archival materials for study and performance.
-
C.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
D.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
E.
RCD
RCD is a former dominant political party in Tunisia that ruled the country for decades under President Zine El Abidine Ben Ali until its dissolution after the 2011 revolution.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d619b82c819093d0d98db88eb9ae |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d7da15b08190ba181bbb1a386acb |
completed | May 3, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8cdf48081909b6088e7d72fc3c5 |
completed | May 3, 2026, 5:10 a.m. |
Created at: April 9, 2026, 9:04 p.m.