Triple
T30895627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keats’ grave with inscription "Here lies One Whose Name was writ in Water" |
E787012
|
entity |
| Predicate | buriedPersonNationality |
P170815
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Keats’ grave with inscription "Here lies One Whose Name was writ in Water", buriedPersonNationality, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buriedPersonNationality Context triple: [Keats’ grave with inscription "Here lies One Whose Name was writ in Water", buriedPersonNationality, English]
-
A.
primaryNationalityOfBurials
Indicates the main national affiliation shared by the individuals interred at a particular burial site.
-
B.
countryOfBurial
Indicates the country in which a person or entity is buried.
-
C.
nativeTownOfPersonBuried
Indicates that the specified town is the birthplace or hometown of the person who is buried at a given location.
-
D.
hasTypeOfPersonBuried
Indicates that a particular burial site or grave contains the remains of a person of a specified type or category.
-
E.
isInNativeRegionOfPersonBuried
Indicates that a location lies within the native region of the person who is buried there.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:49 p.m.