Triple
T9232099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A2100 |
E221841
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | A2100MHP |
E221841
|
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: A2100MHP | Statement: [A2100, hasVariant, A2100MHP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A2100MHP Context triple: [A2100, hasVariant, A2100MHP]
-
A.
A220-100
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.
A2100
chosen
A2100 is a widely used modular satellite bus platform developed by Lockheed Martin for commercial and military communications satellites.
-
C.
A4200
A4200 is a major road in central London that runs through the Holborn area, connecting key routes in the city.
-
D.
MPM-10
MPM-10 is a modern rubber-tired metro train model used on the Montreal Metro, designed to increase capacity, comfort, and energy efficiency.
-
E.
Palm m500 series
The Palm m500 series is a line of early-2000s Palm handheld PDAs known for their slim design, expansion card support, and popularity among mobile professionals.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1a7e9881908e0c11f242162017 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077b0ed7c8190a7e8b95091033507 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:29 p.m.