Triple
T4027347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth David Memorial Gardens |
E83622
|
entity |
| Predicate | hasLanguageOfMonuments |
P30358
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Beth David Memorial Gardens, hasLanguageOfMonuments, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageOfMonuments Context triple: [Beth David Memorial Gardens, hasLanguageOfMonuments, English]
-
A.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
B.
heritageLanguage
Indicates that one entity is the ancestral or culturally inherited language associated with another entity.
-
C.
languageOfHistoricalRecord
chosen
Indicates the language in which a given historical record is written or recorded.
-
D.
hasCulturalSignificanceFor
Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
-
E.
culturalHeritageOf
Indicates that something serves as the cultural heritage belonging to, originating from, or strongly associated with a particular entity or group.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaeec44881909a6c008eeae204df |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.