Triple
T3189218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airco DH.2 |
E66776
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Airco |
E111131
|
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: Airco | Statement: [Airco DH.2, manufacturer, Airco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airco Context triple: [Airco DH.2, manufacturer, Airco]
-
A.
Airco
chosen
Airco was a British aircraft manufacturer best known for producing military aircraft during World War I, including the successful DH series of biplanes.
-
B.
Vickers-Armstrongs
Vickers-Armstrongs was a major British engineering and armaments company best known for producing military aircraft, ships, and tanks during the first half of the 20th century.
-
C.
Avro
Avro is a row-oriented, schema-based data serialization format commonly used in big data processing and storage systems.
-
D.
Avro
Avro was a British aircraft manufacturer best known for producing iconic military aircraft such as the Avro Lancaster bomber during the 20th century.
-
E.
Armstrong Siddeley
Armstrong Siddeley was a British engineering company best known for manufacturing luxury automobiles and aircraft engines in the early to mid-20th century.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e491508190bc881feaee3889bc |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b9a9bc88190b7090bda8fe6260c |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:06 p.m.