Triple
T12012756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairchild C-82 Packet |
E285943
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
XC-82
The XC-82 was an experimental prototype version of the Fairchild C-82 Packet military transport aircraft used to test and refine the design before full production.
|
E960629
|
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: XC-82 | Statement: [Fairchild C-82 Packet, variant, XC-82]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XC-82 Context triple: [Fairchild C-82 Packet, variant, XC-82]
-
A.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
B.
XR-7
XR-7 is a higher-end, performance-oriented trim package of the Mercury Cougar that added luxury and sporty features beyond the base model.
-
C.
TX-12
TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
-
D.
QXE
QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
-
E.
TX-38
TX-38 is a U.S. congressional district in Texas represented in the House of Representatives.
- 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: XC-82 Triple: [Fairchild C-82 Packet, variant, XC-82]
Generated description
The XC-82 was an experimental prototype version of the Fairchild C-82 Packet military transport aircraft used to test and refine the design before full production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: XC-82 Target entity description: The XC-82 was an experimental prototype version of the Fairchild C-82 Packet military transport aircraft used to test and refine the design before full production.
-
A.
X-32
X-32 is an experimental Boeing-built prototype fighter aircraft developed for the Joint Strike Fighter competition.
-
B.
XR-7
XR-7 is a higher-end, performance-oriented trim package of the Mercury Cougar that added luxury and sporty features beyond the base model.
-
C.
TX-12
TX-12 is a United States congressional district in north-central Texas that includes much of Fort Worth and surrounding areas and elects a member to the U.S. House of Representatives.
-
D.
QXE
QXE is the ICAO airline designator used to identify Horizon Air in international aviation operations.
-
E.
TX-38
TX-38 is a U.S. congressional district in Texas represented in the House of Representatives.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b363c6481908c8414c1eecc14f5 |
completed | May 1, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_69f48fc6da4c81908442f18cb4a65b27 |
completed | May 1, 2026, 11:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f495cc50908190aab4f8ca64c66ef3 |
completed | May 1, 2026, noon |
Created at: April 8, 2026, 9:46 p.m.