Triple
T5264717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avro Lincoln |
E118910
|
entity |
| Predicate | wingSpanComparedToLancaster |
P4571
|
FINISHED |
| Object | greater |
—
|
LITERAL 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: greater | Statement: [Avro Lincoln, wingSpanComparedToLancaster, greater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingSpanComparedToLancaster Context triple: [Avro Lincoln, wingSpanComparedToLancaster, greater]
-
A.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
-
B.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
-
C.
fuselageLengthComparedTo747-100
Indicates how the length of an aircraft’s fuselage compares to that of a Boeing 747-100.
-
D.
wingspan
chosen
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
E.
comparedToOtherPlanes
Indicates a relationship where one plane is evaluated or contrasted against other planes in terms of some shared characteristic or metric.
- F. None of above.
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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69bd77c55224819096c0bcfcfae79bd3 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.