Triple
T10727093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mivtsa Shlomo |
E252977
|
entity |
| Predicate | typeOfEvacuation |
P44550
|
FINISHED |
| Object | mass airlift |
—
|
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: mass airlift | Statement: [Mivtsa Shlomo, typeOfEvacuation, mass airlift]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEvacuation Context triple: [Mivtsa Shlomo, typeOfEvacuation, mass airlift]
-
A.
evacuationMethod
chosen
Indicates the means or procedure by which people or objects are removed from a place of danger or risk.
-
B.
evacuatedBy
Indicates that an entity is removed or cleared from a place or situation through the action or assistance of another agent or process.
-
C.
evacuationReason
Indicates the cause or justification for why an evacuation took place or was required.
-
D.
evacuationPoint
Indicates a location designated as the place where people should gather or be moved to during an evacuation.
-
E.
numberOfEvacuated
Indicates the total count of individuals who have been evacuated from a location or situation.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc7cc1c8190b4a1dcadf8563b20 |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.