Triple
T21557943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chtaura |
E531940
|
entity |
| Predicate | roadTypeOnMainAxis |
P1019
|
FINISHED |
| Object | international highway |
—
|
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: international highway | Statement: [Chtaura, roadTypeOnMainAxis, international highway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTypeOnMainAxis Context triple: [Chtaura, roadTypeOnMainAxis, international highway]
-
A.
roadType
chosen
Indicates the classification or category of a road based on its functional or physical characteristics.
-
B.
roadAxis
Indicates a central reference line that defines the primary longitudinal direction or alignment of a road.
-
C.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
D.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
E.
roadNumberType
Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e14af88190bc70b4d0f3453aac |
completed | April 27, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:29 p.m.