Triple
T14843698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hohokam canals |
E349029
|
entity |
| Predicate | totalNetworkLength |
P18592
|
FINISHED |
| Object | hundreds of 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: hundreds of kilometers | Statement: [Hohokam canals, totalNetworkLength, hundreds of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNetworkLength Context triple: [Hohokam canals, totalNetworkLength, hundreds of kilometers]
-
A.
networkLength
chosen
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
B.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
C.
networkLengthContext
Indicates the contextual conditions or parameters under which a network’s length is defined, measured, or interpreted.
-
D.
commonTotalLength
Indicates that the entities share the same overall measured length.
-
E.
trailSystemLength
Indicates the total measured length of a trail system associated with an entity.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.