Triple
T3091900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittelwerk underground factory |
E64499
|
entity |
| Predicate | tunnelSystemLength |
P12895
|
FINISHED |
| Object | approximately 20 kilometers |
—
|
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 20 kilometers | Statement: [Mittelwerk underground factory, tunnelSystemLength, approximately 20 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelSystemLength Context triple: [Mittelwerk underground factory, tunnelSystemLength, approximately 20 kilometers]
-
A.
trailSystemLength
Indicates the total measured length of a trail system associated with an entity.
-
B.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
C.
hasTunnelLengthApprox
chosen
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
D.
roadSystemLength
Indicates the total length or extent of a road network associated with an entity.
-
E.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20eeee88190a5eecfce10e3848c |
completed | March 8, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.