Triple
T36076402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teachings of Rabbi Abraham Isaac Kook |
E1043505
|
entity |
| Predicate | geographicallyRootedIn |
P122631
|
FINISHED |
| Object | Land of Israel |
—
|
NE NERFINISHED |
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: Land of Israel | Statement: [Teachings of Rabbi Abraham Isaac Kook, geographicallyRootedIn, Land of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicallyRootedIn Context triple: [Teachings of Rabbi Abraham Isaac Kook, geographicallyRootedIn, Land of Israel]
-
A.
believedToResideIn
Indicates that one entity is thought or assumed to live or be located in a particular place or region, without confirming this as a verified fact.
-
B.
residencyOf
Indicates that one entity serves as the place where another entity resides or lives.
-
C.
locationGaveRiseTo
chosen
Indicates that a particular location is the origin or source from which something (such as an event, movement, phenomenon, or entity) emerged or developed.
-
D.
regionallyAssociatedWith
Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:08 p.m.