Triple
T34580389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Highway 16 |
E887877
|
entity |
| Predicate | modalCategory |
P87
|
FINISHED |
| Object | road transport |
—
|
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: road transport | Statement: [Asian Highway 16, modalCategory, road transport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modalCategory Context triple: [Asian Highway 16, modalCategory, road transport]
-
A.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
B.
category
chosen
Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
-
C.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
D.
catalogCategory
Indicates that an item or entity is assigned to, or belongs within, a specific catalog category.
-
E.
sampleCategory
Indicates that an item or instance belongs to, or is classified under, a particular sample category.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720c32a60819083bd47b9b1903ebc |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:03 a.m.