Triple
T15935708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VCCJ |
E386435
|
entity |
| Predicate | partOfCodingSystem |
P840
|
FINISHED |
| Object | Sri Lanka ICAO airport code series |
—
|
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: Sri Lanka ICAO airport code series | Statement: [VCCJ, partOfCodingSystem, Sri Lanka ICAO airport code series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCodingSystem Context triple: [VCCJ, partOfCodingSystem, Sri Lanka ICAO airport code series]
-
A.
codingSystemType
Indicates the classification or category of coding system used to encode or represent information in a given context.
-
B.
regionCodeSystem
Indicates that a region is identified or classified according to a particular coding system for geographic or administrative areas.
-
C.
standardCodeSystem
Indicates that an entity uses or is associated with a recognized, authoritative coding or classification system as its reference standard.
-
D.
partOfSystem
chosen
Indicates that one entity functions as a component or subsystem within the structure or organization of another entity.
-
E.
administrativeCodeSystem
Indicates that there is a system or scheme used to assign and manage administrative codes for organizing or identifying entities or records.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.