Triple
T28513644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uduk |
E721556
|
entity |
| Predicate | seasonalMobility |
P73116
|
FINISHED |
| Object | short-distance movements with herds |
—
|
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: short-distance movements with herds | Statement: [Uduk, seasonalMobility, short-distance movements with herds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalMobility Context triple: [Uduk, seasonalMobility, short-distance movements with herds]
-
A.
hasSeasonalMigration
chosen
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
-
B.
socialMobility
Indicates the degree to which individuals or groups can move between different social or economic status levels within a society over time.
-
C.
seasonalPopulation
Indicates a relationship where the number of individuals in a population varies depending on the season or time of year.
-
D.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
E.
regionalMovement
Indicates movement or relocation of an entity from one geographic region to another within a broader area or system.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 3:15 a.m.