Triple
T19699672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinai front |
E473055
|
entity |
| Predicate | strategicObjectiveOfIsrael |
P136983
|
FINISHED |
| Object | neutralize Egyptian military threat in Sinai |
—
|
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: neutralize Egyptian military threat in Sinai | Statement: [Sinai front, strategicObjectiveOfIsrael, neutralize Egyptian military threat in Sinai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strategicObjectiveOfIsrael Context triple: [Sinai front, strategicObjectiveOfIsrael, neutralize Egyptian military threat in Sinai]
-
A.
militaryObjectiveOfIsrael
Indicates that something is a target or goal designated as a military objective by Israel.
-
B.
strategicRationaleForIsrael
Indicates that something serves as a strategic justification, motive, or benefit specifically in favor of Israel.
-
C.
strategicObjectiveOfISIL
Indicates that something is a strategic objective or long-term goal pursued by ISIL.
-
D.
objectiveOfIraq
Indicates that something is the goal, aim, or intended target associated with Iraq.
-
E.
strategicObjectiveOttoman
Indicates that one entity serves as or relates to a strategic objective or goal specifically concerning the Ottoman Empire.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b426608190a46abec3652a6ca0 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.