Triple
T15530075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A30 |
E370189
|
entity |
| Predicate | hasSectionUpgradedTo |
P5357
|
FINISHED |
| Object | dual carriageway |
—
|
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: dual carriageway | Statement: [A30, hasSectionUpgradedTo, dual carriageway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionUpgradedTo Context triple: [A30, hasSectionUpgradedTo, dual carriageway]
-
A.
hasUpgradeProject
Indicates that an entity is associated with a project whose purpose is to improve, enhance, or modernize that entity.
-
B.
hasUpgrade
chosen
Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
-
C.
hasMigrationTo
Indicates a directed movement or transfer from one place, system, or state to another.
-
D.
mayBeUpgradedTo
Indicates that one entity is eligible or allowed to be changed into a higher, improved, or more advanced version represented by another entity.
-
E.
wasUpgradedFor
Indicates that one entity was improved, enhanced, or updated specifically to serve, benefit, or be compatible with another 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_69ded28ab0588190a47a9090d1238707 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:05 a.m.