Triple
T12126715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelaide–Darwin railway |
E288826
|
entity |
| Predicate | bridgeCountApproximate |
P20771
|
FINISHED |
| Object | over 90 bridges |
—
|
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: over 90 bridges | Statement: [Adelaide–Darwin railway, bridgeCountApproximate, over 90 bridges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgeCountApproximate Context triple: [Adelaide–Darwin railway, bridgeCountApproximate, over 90 bridges]
-
A.
hasNumberOfBridges
chosen
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
-
B.
bridgeCapacity
Indicates the maximum load or volume that a bridge can safely support or accommodate.
-
C.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
D.
riverCrossedByMaintainedBridges
Indicates that a river is spanned by one or more bridges that are actively maintained in usable condition.
-
E.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.