Triple
T18375499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town lattice truss |
E446302
|
entity |
| Predicate | spanRange |
P4679
|
FINISHED |
| Object | suitable for medium spans |
—
|
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: suitable for medium spans | Statement: [Town lattice truss, spanRange, suitable for medium spans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spanRange Context triple: [Town lattice truss, spanRange, suitable for medium spans]
-
A.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
B.
hornSpanRange
Indicates the range of distances between the tips of an entity’s horns.
-
C.
range
chosen
Indicates that a value, property, or effect extends between specified limits or over a specified interval or scope.
-
D.
rangeVariant
Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
-
E.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.