Triple
T511052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V-2 rocket |
E10608
|
entity |
| Predicate | maximumAltitude |
P6750
|
FINISHED |
| Object | approximately 80–90 km |
—
|
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: approximately 80–90 km | Statement: [V-2 rocket, maximumAltitude, approximately 80–90 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumAltitude Context triple: [V-2 rocket, maximumAltitude, approximately 80–90 km]
-
A.
altitudeOfRecordFlight
Indicates the altitude reached during a particular record-setting flight.
-
B.
altitudeCapability
chosen
Indicates the maximum or typical altitude at which an entity can effectively operate or function.
-
C.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
D.
explosionAltitude
Indicates the height above a reference surface at which an explosion occurs or is triggered.
-
E.
maximumTakeoffWeight
Indicates the greatest allowable weight an aircraft can have at the start of its takeoff roll under specified conditions.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f165b91c81908c2d2ba15c64b956 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edfe236481909901cc7d4281b33c |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.