Triple
T18646745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colma necropolis |
E455820
|
entity |
| Predicate | hasAsianEthnicCemeteries |
P59410
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Colma necropolis, hasAsianEthnicCemeteries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAsianEthnicCemeteries Context triple: [Colma necropolis, hasAsianEthnicCemeteries, true]
-
A.
burialPlaceOfEthnicGroup
chosen
Indicates the location where members of a particular ethnic group are traditionally or commonly buried.
-
B.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
D.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
E.
hasGravesOfCitizenship
Indicates that a place contains graves belonging to individuals of a specified citizenship.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.