Triple
T36020355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serengeti ecosystem |
E1041963
|
entity |
| Predicate | annualMigrationIncludes |
P184336
|
FINISHED |
| Object | wildebeest |
—
|
NE NERFINISHED |
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: wildebeest | Statement: [Serengeti ecosystem, annualMigrationIncludes, wildebeest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualMigrationIncludes Context triple: [Serengeti ecosystem, annualMigrationIncludes, wildebeest]
-
A.
hasSeasonalMigration
Indicates that an entity regularly moves between different locations according to seasonal or cyclical environmental changes.
-
B.
migratoryStatus
Indicates whether an entity regularly moves between different geographic areas according to a recurring (often seasonal) migration pattern.
-
C.
timeOfMigration
Indicates the specific time or period during which a migration event occurs.
-
D.
annualVisitation
Indicates a recurring visit or attendance that takes place once every year between the related entities.
-
E.
regionOfMigration
Indicates the geographic area from which an entity or population moves or migrates.
- F. None of above. chosen
Provenance (4 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.