Triple
T1324631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War of Attrition |
E28297
|
entity |
| Predicate | objectiveOfEgypt |
P26556
|
FINISHED |
| Object | force Israeli withdrawal from 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: force Israeli withdrawal from Sinai | Statement: [War of Attrition, objectiveOfEgypt, force Israeli withdrawal from Sinai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectiveOfEgypt Context triple: [War of Attrition, objectiveOfEgypt, force Israeli withdrawal from Sinai]
-
A.
majorPharaoh
Indicates that the subject is recognized as a principal or highly significant pharaoh in relation to the object (such as a period, dynasty, or context).
-
B.
hasPyramids
Indicates that the subject possesses, contains, or is characterized by one or more pyramids.
-
C.
objectiveOfFrance
Indicates that something is an objective, goal, or aim pursued by France.
-
D.
objectiveOfUnitedStates
Indicates that something is an official objective or goal pursued by the United States.
-
E.
directionRelativeToLowerEgypt
Indicates the spatial direction of something when referenced relative to the geographic position of Lower Egypt.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf8158ac8190b8360ecccc2980bc |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:55 p.m.