Triple
T30099257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philornis downsi |
E764946
|
entity |
| Predicate | discoveredAsProblemIn |
P21734
|
FINISHED |
| Object | Galápagos Islands in the 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: Galápagos Islands in the 1990s | Statement: [Philornis downsi, discoveredAsProblemIn, Galápagos Islands in the 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveredAsProblemIn Context triple: [Philornis downsi, discoveredAsProblemIn, Galápagos Islands in the 1990s]
-
A.
inconsistencyDiscoveredIn
Indicates that an inconsistency has been identified within or associated with a specified entity, context, or dataset.
-
B.
knownIssue
chosen
Indicates that the subject has an issue or problem that is already identified, recognized, or documented.
-
C.
discoveredAs
Indicates that one entity was first identified, found, or recognized in the role or form specified by another entity.
-
D.
hasIssueRecognizedBy
Indicates that an issue or problem is acknowledged, identified, or formally recognized by a particular entity.
-
E.
foundInconsistentWith
Indicates that one entity has been determined to conflict with, contradict, or fail to align with another entity.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 7:08 p.m.