Triple
T6197735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-8 Joint STARS |
E138550
|
entity |
| Predicate | airframeBasedOn |
P17752
|
FINISHED |
| Object | Boeing 707-300 |
E21610
|
NE FINISHED |
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: Boeing 707-300 | Statement: [E-8 Joint STARS, airframeBasedOn, Boeing 707-300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boeing 707-300 Context triple: [E-8 Joint STARS, airframeBasedOn, Boeing 707-300]
-
A.
Boeing 707
chosen
The Boeing 707 is a pioneering American jet airliner introduced in the late 1950s that helped usher in the modern era of commercial jet travel.
-
B.
Boeing 727
The Boeing 727 is a mid-sized, three-engine narrow-body jet airliner introduced in the 1960s that became one of the most widely used commercial aircraft for short- and medium-haul routes.
-
C.
Douglas DC-8
The Douglas DC-8 is a long-range, narrow-body jet airliner introduced in the late 1950s that became one of the early mainstays of commercial jet aviation.
-
D.
Boeing 720
The Boeing 720 is a shorter-range, lighter derivative of the Boeing 707 jet airliner, designed primarily for medium-haul routes in the early jet age.
-
E.
Boeing 767
The Boeing 767 is a wide-body, twin-engine jet airliner widely used for medium- to long-haul commercial flights and cargo operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06251b47881909bd8d2ea37541959 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a2faf4819089bfbce9710ed22d |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:20 p.m.