Triple
T19717583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian Airways |
E473518
|
entity |
| Predicate | hasFocusMarket |
P70563
|
FINISHED |
| Object | outbound tourism from Georgia |
—
|
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: outbound tourism from Georgia | Statement: [Georgian Airways, hasFocusMarket, outbound tourism from Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFocusMarket Context triple: [Georgian Airways, hasFocusMarket, outbound tourism from Georgia]
-
A.
hasMarketFocus
chosen
Indicates that an entity concentrates its business activities, products, or services on a particular market or customer segment.
-
B.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
C.
hasMajorMarket
Indicates that an entity has a primary or most significant market in a specified location or segment.
-
D.
hasMarketIndex
Indicates that an entity is associated with, or tracked by, a specific market index.
-
E.
hasMarketStatus
Indicates the current commercial or trading condition of an entity, such as whether it is active, suspended, listed, or delisted in a market.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440ec9e881909b75c0ebefab827f |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.