Triple
T30225318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Historical Relation of the Island Ceylon in the East-Indies |
E768461
|
entity |
| Predicate | originalPlaceNameUsed |
P35480
|
FINISHED |
| Object | Ceylon |
—
|
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: Ceylon | Statement: [An Historical Relation of the Island Ceylon in the East-Indies, originalPlaceNameUsed, Ceylon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPlaceNameUsed Context triple: [An Historical Relation of the Island Ceylon in the East-Indies, originalPlaceNameUsed, Ceylon]
-
A.
originalSettlementName
Indicates the name by which a settlement was originally known before any later renaming or reclassification.
-
B.
originCityNameAtThatTime
Indicates the name of the city from which an entity originally came or departed at the specific time being referenced.
-
C.
cityOfOriginal
Indicates the city from which something or someone originally comes or was first created or established.
-
D.
previousLocationName
Indicates that one entity specifies the name of a location where another entity was situated or occurred before its current location.
-
E.
locatedInFormerNamePlace
chosen
Indicates that an entity is located in a place that is referred to by its former or historical name rather than its current name.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a001adc8c108190ab3a43f6415e2be3 |
completed | May 10, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_6a001a290330819097c2c3123f9014b4 |
completed | May 10, 2026, 5:39 a.m. |
Created at: April 29, 2026, 7:35 p.m.