Triple
T9055234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarakatsani |
E216979
|
entity |
| Predicate | seasonalMovement |
P73116
|
FINISHED |
| Object | mountain pastures in summer |
—
|
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: mountain pastures in summer | Statement: [Sarakatsani, seasonalMovement, mountain pastures in summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalMovement Context triple: [Sarakatsani, seasonalMovement, mountain pastures in summer]
-
A.
hasSeasonalMigration
chosen
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
-
B.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
C.
directionOfMigration
Indicates the geographic direction or path along which a migration movement proceeds from its origin toward its destination.
-
D.
migratoryBehavior
Indicates the pattern, timing, and routes of movement that an entity follows when migrating from one location or region to another.
-
E.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee6d83c819095d8ed0779aa8511 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.