Triple
T18646742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colma necropolis |
E455820
|
entity |
| Predicate | hasJewishCemeteries |
P1496
|
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, hasJewishCemeteries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJewishCemeteries Context triple: [Colma necropolis, hasJewishCemeteries, true]
-
A.
hasCemetery
chosen
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
B.
hasJewishInstitution
Indicates that a place, organization, or entity possesses, hosts, or is associated with a Jewish religious, cultural, or educational institution.
-
C.
hasSignificantJewishCommunity
Indicates that a place or entity possesses a notably large, influential, or historically important Jewish community.
-
D.
numberOfCemeteries
Indicates the count of cemeteries associated with a given entity or within a specified area.
-
E.
hasMassGraveOf
Indicates that a location or site contains a mass grave in which the referenced individuals or remains are buried.
- 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.