Triple
T30723307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian vulture |
E782208
|
entity |
| Predicate | winteringArea |
P97175
|
FINISHED |
| Object | sub-Saharan Africa |
—
|
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: sub-Saharan Africa | Statement: [Egyptian vulture, winteringArea, sub-Saharan Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winteringArea Context triple: [Egyptian vulture, winteringArea, sub-Saharan Africa]
-
A.
winteringAreas
chosen
Indicates the locations where entities spend the winter season, typically as their non-breeding or overwintering grounds.
-
B.
lastRecordedWinteringLocation
Indicates the most recent location where an entity was known to spend the winter season.
-
C.
overwinteringSeason
Indicates the period during which an organism remains dormant or survives through winter conditions.
-
D.
overwintersAs
Indicates that an organism survives through the winter in a particular life stage, form, or condition.
-
E.
winterPopulationApprox
Indicates an approximate count or estimate of a population present during the winter season.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c5af9088190b5b6e9b23c23faf8 |
completed | May 2, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:36 p.m.