Triple
T6909502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt–Israel relations |
E159893
|
entity |
| Predicate | publicOpinionInEgypt |
P2235
|
FINISHED |
| Object | largely negative toward Israel |
—
|
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: largely negative toward Israel | Statement: [Egypt–Israel relations, publicOpinionInEgypt, largely negative toward Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicOpinionInEgypt Context triple: [Egypt–Israel relations, publicOpinionInEgypt, largely negative toward Israel]
-
A.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
B.
objectiveOfEgypt
Indicates that something is the goal, aim, or intended outcome pursued by Egypt.
-
C.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
D.
editorialStance
Indicates the position, viewpoint, or bias an editor or publication adopts toward a subject, issue, or entity.
-
E.
opinionBy
chosen
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c00e948190b103a2b2a2738bb1 |
completed | March 27, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.