Triple
T32292070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacDonald White Paper |
E824988
|
entity |
| Predicate | impactOnArab-JewishRelations |
P181360
|
FINISHED |
| Object | increased tensions |
—
|
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: increased tensions | Statement: [MacDonald White Paper, impactOnArab-JewishRelations, increased tensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnArab-JewishRelations Context triple: [MacDonald White Paper, impactOnArab-JewishRelations, increased tensions]
-
A.
positionOnArabIsraeliConflict
Indicates a stance or viewpoint that an entity holds regarding the Arab–Israeli conflict.
-
B.
effectOnZionism
Indicates how something influences, shapes, or impacts Zionism as an ideology, movement, or set of practices.
-
C.
effectOnPalestinians
Indicates the impact or consequences that an action, event, or condition has on Palestinians.
-
D.
effectOnPeaceProcess
Indicates the influence that an action, event, or condition has on the progress, stability, or outcome of a peace negotiation or peacebuilding process.
-
E.
effectOnYishuv
Indicates the impact or consequences that an action, event, or condition has on the Yishuv (the Jewish community or settlement).
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: May 1, 2026, 12:44 a.m.