Triple
T935110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree of Life (Kabbalah) |
E20177
|
entity |
| Predicate | pathsAssociatedWith |
P2830
|
FINISHED |
| Object | Hebrew alphabet |
—
|
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: Hebrew alphabet | Statement: [Tree of Life (Kabbalah), pathsAssociatedWith, Hebrew alphabet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pathsAssociatedWith Context triple: [Tree of Life (Kabbalah), pathsAssociatedWith, Hebrew alphabet]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
participatingAssociations
Indicates that certain associations are involved as participants in a given activity, event, or relationship.
-
C.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
associatedWithText
Indicates that an entity has a contextual or semantic connection to a specific piece of text.
-
E.
linkedByRoadTo
Indicates that two locations are directly connected to each other by a road suitable for travel.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.