Triple
T16464935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldenbridge Cemetery |
E399904
|
entity |
| Predicate | openedForBurials |
P45931
|
FINISHED |
| Object | 1830 |
—
|
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: 1830 | Statement: [Goldenbridge Cemetery, openedForBurials, 1830]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedForBurials Context triple: [Goldenbridge Cemetery, openedForBurials, 1830]
-
A.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
-
B.
hasBurialsFrom
chosen
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
D.
isClosedToMostNewInterments
Indicates that a burial site has largely stopped accepting new interments, allowing only limited or exceptional new burials.
-
E.
burialsUntil
Indicates the number of burial events that remain or are scheduled to occur up to a specified point in time or condition.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d841f348190958a25f35034edff |
completed | April 18, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69e227048d608190a4205eae3117629a |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:10 a.m.