Triple
T10522548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyps bengalensis |
E248210
|
entity |
| Predicate | populationChange |
P71532
|
FINISHED |
| Object | catastrophic decline since 1990s |
—
|
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: catastrophic decline since 1990s | Statement: [Gyps bengalensis, populationChange, catastrophic decline since 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationChange Context triple: [Gyps bengalensis, populationChange, catastrophic decline since 1990s]
-
A.
populationIncrease
Indicates that the number of individuals in a population has grown over a specified period of time.
-
B.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
C.
populationFocus
Indicates that something is primarily directed toward, concerned with, or designed for a particular population or demographic group.
-
D.
populationScale
Indicates the relative size or magnitude of a population, typically categorizing it into broad scale levels (e.g., small, medium, large).
-
E.
populationLoss
chosen
Indicates a decrease in the number of individuals within a defined population over a given period or due to specific causes.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e0907481908807dd99980cba1f |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:29 p.m.