Triple
T9716505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Cemetery, Florence |
E235156
|
entity |
| Predicate | closedForBurials |
P84274
|
FINISHED |
| Object | 1877 |
—
|
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: 1877 | Statement: [English Cemetery, Florence, closedForBurials, 1877]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForBurials Context triple: [English Cemetery, Florence, closedForBurials, 1877]
-
A.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
B.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
periodOfBurial
Indicates the time period or date range during which the burial of an entity took place.
-
D.
burialsUntil
Indicates the number of burial events that remain or are scheduled to occur up to a specified point in time or condition.
-
E.
usedAsBurialGroundUntil
chosen
Indicates that a place functioned as a burial ground up to a specified end time or 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69cd03bfeca08190924fca43aaa9c10f |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:20 p.m.