Triple
T4305193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Political Zionism |
E99937
|
entity |
| Predicate | frameOfAction |
P55037
|
FINISHED |
| Object | international diplomacy |
—
|
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: international diplomacy | Statement: [Political Zionism, frameOfAction, international diplomacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameOfAction Context triple: [Political Zionism, frameOfAction, international diplomacy]
-
A.
liveAction
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
-
B.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
C.
narrativeFrame
Indicates the overarching narrative context or perspective within which events, actions, or relationships are presented or interpreted.
-
D.
actStructure
Indicates a structural or organizational relationship that defines how an action or activity is arranged, composed, or internally organized.
-
E.
actsOn
Indicates that one entity performs an action that affects, targets, or is directed toward another entity.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350ba57ec8190afda7d8318e5d2d0 |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e06b3ec81909298b1ddd74d37bd |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:09 p.m.