Triple
T26576387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louisiana black bear |
E666957
|
entity |
| Predicate | ESADelistingProposalYear |
P160659
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Louisiana black bear, ESADelistingProposalYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ESADelistingProposalYear Context triple: [Louisiana black bear, ESADelistingProposalYear, 2015]
-
A.
applicationYear
Indicates the year in which an application was submitted or made.
-
B.
planningYear
Indicates the year in which planning or preparation activities for something are scheduled or designated to occur.
-
C.
cancellationYear
Indicates the year in which something (such as an event, contract, or service) was officially canceled or terminated.
-
D.
exitYear
Indicates the year in which an entity leaves, finishes, or ceases its association with another entity or context.
-
E.
academicYearType
Indicates the classification of an academic year according to its structural or administrative type (e.g., semester-based, quarter-based, fiscal year, etc.).
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614dd573c8190b5b26c7a41b737ec |
completed | May 2, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 2:01 a.m.