Triple
T9101274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pegas Touristik |
E218160
|
entity |
| Predicate | servesPrimarySourceMarket |
P1296
|
FINISHED |
| Object | Russian tourists |
—
|
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: Russian tourists | Statement: [Pegas Touristik, servesPrimarySourceMarket, Russian tourists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesPrimarySourceMarket Context triple: [Pegas Touristik, servesPrimarySourceMarket, Russian tourists]
-
A.
hasPrimaryServiceArea
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
B.
isPrimarySecuritiesMarketOf
Indicates that a market serves as the main or principal venue where a particular entity’s securities are initially issued, listed, or predominantly traded.
-
C.
hasPrimaryProductionLocation
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
D.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
E.
primaryServes
chosen
Indicates that one entity’s main or principal function is to serve, support, or provide service to 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc971435d08190b5007ed44ac0a364 |
completed | April 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69cc65fc7f408190a5846e29ab3b97e5 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:15 p.m.