Triple
T1266270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cultural Zionism |
E15606
|
entity |
| Predicate | sees |
P24911
|
FINISHED |
| Object | Zionism as primarily a moral and cultural project |
—
|
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: Zionism as primarily a moral and cultural project | Statement: [Cultural Zionism, sees, Zionism as primarily a moral and cultural project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sees Context triple: [Cultural Zionism, sees, Zionism as primarily a moral and cultural project]
-
A.
hasSee
Indicates that one entity has perceived or visually observed another entity.
-
B.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
C.
meets
Indicates that two or more entities come together at the same place and time, typically for interaction or a shared purpose.
-
D.
canBeSeenWith
Indicates that two entities are observable together in the same context, setting, or time.
-
E.
hears
Indicates that one entity perceives or detects sounds produced by another entity or source.
- F. None of above. chosen
Provenance (4 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c037f14c8190baa42f70f8846583 |
completed | March 1, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69a4bb7058e88190825b0cba5ee60b51 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc218cb8819090bff71ac7107a03 |
completed | March 1, 2026, 10:22 p.m. |
Created at: March 1, 2026, 7:50 p.m.