Triple
T8630840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CS100 |
E204396
|
entity |
| Predicate | aircraftSeries |
P6094
|
FINISHED |
| Object | A220-100 |
E204394
|
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: A220-100 | Statement: [CS100, aircraftSeries, A220-100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A220-100 Context triple: [CS100, aircraftSeries, A220-100]
-
A.
A220-100
chosen
The A220-100 is the shorter-fuselage variant of Airbus’s A220 series, designed as a modern, fuel-efficient narrow-body jet for short- to medium-haul routes.
-
B.
A4200
A4200 is a major road in central London that runs through the Holborn area, connecting key routes in the city.
-
C.
S-220
S-220 is the hull number of NOAA Ship Fairweather, a National Oceanic and Atmospheric Administration vessel primarily used for hydrographic surveying and seafloor mapping.
-
D.
A2100
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
E.
A220 series
The A220 series is a family of modern, fuel-efficient narrow-body jet airliners designed for short- to medium-haul routes.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47417e9c819099739ae901449308 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef354c5c08190bf7d3023a3473d2f |
completed | April 2, 2026, 10:53 p.m. |
Created at: March 30, 2026, 6:27 p.m.