Triple
T28940775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juana Maria |
E730441
|
entity |
| Predicate | yearRemovedFromIsland |
P166046
|
FINISHED |
| Object | 1853 |
—
|
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: 1853 | Statement: [Juana Maria, yearRemovedFromIsland, 1853]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRemovedFromIsland Context triple: [Juana Maria, yearRemovedFromIsland, 1853]
-
A.
formerIslandOf
Indicates that one entity was previously an island associated with another entity, but no longer holds that status.
-
B.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
C.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
-
D.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
E.
decommissionedByJapan
Indicates that Japan officially took a given object, facility, or system out of active service or use.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:36 a.m.