Triple
T35700106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Cemetery, Colma |
E1031554
|
entity |
| Predicate | hasTypeOfMemorials |
P7960
|
FINISHED |
| Object | headstones |
—
|
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: headstones | Statement: [Italian Cemetery, Colma, hasTypeOfMemorials, headstones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMemorials Context triple: [Italian Cemetery, Colma, hasTypeOfMemorials, headstones]
-
A.
memorialType
chosen
Indicates the specific kind or category of memorial associated with an entity (e.g., plaque, statue, monument).
-
B.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
-
C.
hasMemorialElements
Indicates that something includes or incorporates components that serve as a memorial or commemoration of someone or something.
-
D.
hasArtOrMemorial
Indicates that one entity possesses, contains, or is associated with a work of art or a memorial related to another entity.
-
E.
hasNearbyMemorials
Indicates that one or more memorials are located in close physical proximity to the referenced entity.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: May 3, 2026, 4:05 p.m.