Triple
T32881861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Darwin’s Galápagos collections |
E841084
|
entity |
| Predicate | collectedOn |
P160372
|
FINISHED |
| Object | Galápagos Islands |
—
|
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: Galápagos Islands | Statement: [Charles Darwin’s Galápagos collections, collectedOn, Galápagos Islands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectedOn Context triple: [Charles Darwin’s Galápagos collections, collectedOn, Galápagos Islands]
-
A.
dataCollectedOn
Indicates that certain data was gathered, recorded, or measured at a specific point in time or on a particular date.
-
B.
dataCollectedAt
chosen
Indicates that some data was gathered or recorded at a specific time or place.
-
C.
collectedSince
Indicates that one entity has been continuously collecting or accumulating another entity starting from a specified point in time.
-
D.
collectedWith
Indicates that one entity was gathered, acquired, or obtained together with another entity as part of the same collection event or process.
-
E.
takenOn
Indicates that something (such as a photo, measurement, or record) was captured or recorded at a specific time or on a specific date.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 1, 2026, 1:18 a.m.