Triple
T172591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing |
E3507
|
entity |
| Predicate | businessDivision |
P1467
|
FINISHED |
| Object | Boeing Commercial Airplanes |
E3507
|
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 Commercial Airplanes | Statement: [Boeing, businessDivision, Boeing Commercial Airplanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boeing Commercial Airplanes Context triple: [Boeing, businessDivision, Boeing Commercial Airplanes]
-
A.
Boeing
chosen
Boeing is a major American aerospace company best known for designing and manufacturing commercial jetliners and military aircraft used worldwide.
-
B.
Boeing Galleries
Boeing Galleries are contemporary outdoor exhibition spaces in Chicago’s Millennium Park that showcase rotating large-scale art installations and sculptures.
-
C.
Boeing 707
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.
-
D.
Lockheed Martin
Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
-
E.
Airbus
Airbus is a major European aerospace corporation known for designing and manufacturing commercial airliners such as the A320, A330, and A380 families.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2eb7a519c81909922f45628f43c69 |
completed | Feb. 28, 2026, 1:19 p.m. |
Created at: Feb. 28, 2026, 2:39 a.m.