Triple
T3538694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appendix I |
E74829
|
entity |
| Predicate | listingCriterion |
P48210
|
FINISHED |
| Object | species are or may be affected by trade |
—
|
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: species are or may be affected by trade | Statement: [Appendix I, listingCriterion, species are or may be affected by trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listingCriterion Context triple: [Appendix I, listingCriterion, species are or may be affected by trade]
-
A.
selectionCriteria
Indicates the conditions or rules used to choose certain entities from a larger set.
-
B.
listingType
Indicates the category or format under which an item, property, or service is offered or advertised (e.g., for sale, for rent, auction, etc.).
-
C.
evaluationCriteriaInclude
Indicates that certain criteria are part of, or explicitly included in, the set of standards used to evaluate something.
-
D.
eligibleProperties
Indicates that certain properties meet the required conditions or criteria to qualify for a specified purpose or status.
-
E.
notableCriterion
Indicates that something is distinguished or recognized based on a particular standard, measure, or qualifying condition.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcca5e008190abcfe40c8902a95f |
completed | March 8, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed7f2ec819085467d281712e0e8 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:20 p.m.