Triple
T31428155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semmering Railway |
E801722
|
entity |
| Predicate | numberOfViaducts |
P203002
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [Semmering Railway, numberOfViaducts, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfViaducts Context triple: [Semmering Railway, numberOfViaducts, 16]
-
A.
hasViaduct
Indicates that one entity possesses, includes, or is connected by a viaduct in relation to another entity.
-
B.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
C.
hasViaductSections
Indicates that something includes or is composed of one or more viaduct sections as part of its structure or layout.
-
D.
hasBridgeAndTunnelStructures
Indicates that there exist both bridge and tunnel structures associated with or connecting the related entities.
-
E.
numberOfSuspensionBridges
Indicates the count of suspension bridges associated with a given entity or within a specified context.
- F. None of above. chosen
Provenance (4 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00d9717a9881908194163d719f14d6 |
completed | May 10, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a00d91db2ec81909ebacfc9f0d11dd8 |
completed | May 10, 2026, 7:14 p.m. |
| PDg | Predicate description generation | batch_6a00d970a11081908f24876a0696d827 |
completed | May 10, 2026, 7:16 p.m. |
Created at: April 30, 2026, 8:55 p.m.