Triple
T32881880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Darwin’s Galápagos collections |
E841084
|
entity |
| Predicate | documentedOnIslands |
P35221
|
FINISHED |
| Object | San Cristóbal Island |
—
|
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: San Cristóbal Island | Statement: [Charles Darwin’s Galápagos collections, documentedOnIslands, San Cristóbal Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentedOnIslands Context triple: [Charles Darwin’s Galápagos collections, documentedOnIslands, San Cristóbal Island]
-
A.
usedOnIslands
Indicates that something is utilized or applied specifically on islands.
-
B.
foundOnIsland
chosen
Indicates that one entity is located or discovered on an island in relation to another entity.
-
C.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
D.
meetsInIsland
Indicates that two or more entities meet with each other at a location that is an island.
-
E.
locatedOnIslandOfCountry
Indicates that something is situated on an island that belongs to, or is part of, a specified country.
- 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_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:18 a.m.